CodCodingCode commited on
Commit
e5d41e3
·
verified ·
1 Parent(s): 02588ef

Upload folder using huggingface_hub

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. .gitattributes +3 -0
  2. added_tokens.json +28 -0
  3. chat_template.jinja +89 -0
  4. checkpoint-2000/added_tokens.json +28 -0
  5. checkpoint-2000/chat_template.jinja +89 -0
  6. checkpoint-2000/config.json +69 -0
  7. checkpoint-2000/generation_config.json +13 -0
  8. checkpoint-2000/merges.txt +0 -0
  9. checkpoint-2000/model-00001-of-00004.safetensors +3 -0
  10. checkpoint-2000/model-00002-of-00004.safetensors +3 -0
  11. checkpoint-2000/model-00003-of-00004.safetensors +3 -0
  12. checkpoint-2000/model-00004-of-00004.safetensors +3 -0
  13. checkpoint-2000/model.safetensors.index.json +407 -0
  14. checkpoint-2000/optimizer.pt +3 -0
  15. checkpoint-2000/rng_state.pth +3 -0
  16. checkpoint-2000/scheduler.pt +3 -0
  17. checkpoint-2000/special_tokens_map.json +31 -0
  18. checkpoint-2000/tokenizer.json +3 -0
  19. checkpoint-2000/tokenizer_config.json +240 -0
  20. checkpoint-2000/trainer_state.json +1434 -0
  21. checkpoint-2000/training_args.bin +3 -0
  22. checkpoint-2000/vocab.json +0 -0
  23. checkpoint-2250/added_tokens.json +28 -0
  24. checkpoint-2250/chat_template.jinja +89 -0
  25. checkpoint-2250/config.json +69 -0
  26. checkpoint-2250/generation_config.json +13 -0
  27. checkpoint-2250/merges.txt +0 -0
  28. checkpoint-2250/model-00001-of-00004.safetensors +3 -0
  29. checkpoint-2250/model-00002-of-00004.safetensors +3 -0
  30. checkpoint-2250/model-00003-of-00004.safetensors +3 -0
  31. checkpoint-2250/model-00004-of-00004.safetensors +3 -0
  32. checkpoint-2250/model.safetensors.index.json +407 -0
  33. checkpoint-2250/optimizer.pt +3 -0
  34. checkpoint-2250/rng_state.pth +3 -0
  35. checkpoint-2250/scheduler.pt +3 -0
  36. checkpoint-2250/special_tokens_map.json +31 -0
  37. checkpoint-2250/tokenizer.json +3 -0
  38. checkpoint-2250/tokenizer_config.json +240 -0
  39. checkpoint-2250/trainer_state.json +1609 -0
  40. checkpoint-2250/training_args.bin +3 -0
  41. checkpoint-2250/vocab.json +0 -0
  42. config.json +69 -0
  43. generation_config.json +13 -0
  44. merges.txt +0 -0
  45. model-00001-of-00004.safetensors +3 -0
  46. model-00002-of-00004.safetensors +3 -0
  47. model-00003-of-00004.safetensors +3 -0
  48. model-00004-of-00004.safetensors +3 -0
  49. model.safetensors.index.json +407 -0
  50. runs/Jul18_19-54-02_192-222-59-154/events.out.tfevents.1752868444.192-222-59-154.5692.0 +3 -0
.gitattributes CHANGED
@@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ checkpoint-2000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
37
+ checkpoint-2250/tokenizer.json filter=lfs diff=lfs merge=lfs -text
38
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
added_tokens.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</think>": 151668,
3
+ "</tool_call>": 151658,
4
+ "</tool_response>": 151666,
5
+ "<think>": 151667,
6
+ "<tool_call>": 151657,
7
+ "<tool_response>": 151665,
8
+ "<|box_end|>": 151649,
9
+ "<|box_start|>": 151648,
10
+ "<|endoftext|>": 151643,
11
+ "<|file_sep|>": 151664,
12
+ "<|fim_middle|>": 151660,
13
+ "<|fim_pad|>": 151662,
14
+ "<|fim_prefix|>": 151659,
15
+ "<|fim_suffix|>": 151661,
16
+ "<|im_end|>": 151645,
17
+ "<|im_start|>": 151644,
18
+ "<|image_pad|>": 151655,
19
+ "<|object_ref_end|>": 151647,
20
+ "<|object_ref_start|>": 151646,
21
+ "<|quad_end|>": 151651,
22
+ "<|quad_start|>": 151650,
23
+ "<|repo_name|>": 151663,
24
+ "<|video_pad|>": 151656,
25
+ "<|vision_end|>": 151653,
26
+ "<|vision_pad|>": 151654,
27
+ "<|vision_start|>": 151652
28
+ }
chat_template.jinja ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0].role == 'system' %}
4
+ {{- messages[0].content + '\n\n' }}
5
+ {%- endif %}
6
+ {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
7
+ {%- for tool in tools %}
8
+ {{- "\n" }}
9
+ {{- tool | tojson }}
10
+ {%- endfor %}
11
+ {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
12
+ {%- else %}
13
+ {%- if messages[0].role == 'system' %}
14
+ {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
15
+ {%- endif %}
16
+ {%- endif %}
17
+ {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
18
+ {%- for message in messages[::-1] %}
19
+ {%- set index = (messages|length - 1) - loop.index0 %}
20
+ {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
21
+ {%- set ns.multi_step_tool = false %}
22
+ {%- set ns.last_query_index = index %}
23
+ {%- endif %}
24
+ {%- endfor %}
25
+ {%- for message in messages %}
26
+ {%- if message.content is string %}
27
+ {%- set content = message.content %}
28
+ {%- else %}
29
+ {%- set content = '' %}
30
+ {%- endif %}
31
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
32
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
33
+ {%- elif message.role == "assistant" %}
34
+ {%- set reasoning_content = '' %}
35
+ {%- if message.reasoning_content is string %}
36
+ {%- set reasoning_content = message.reasoning_content %}
37
+ {%- else %}
38
+ {%- if '</think>' in content %}
39
+ {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
40
+ {%- set content = content.split('</think>')[-1].lstrip('\n') %}
41
+ {%- endif %}
42
+ {%- endif %}
43
+ {%- if loop.index0 > ns.last_query_index %}
44
+ {%- if loop.last or (not loop.last and reasoning_content) %}
45
+ {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
46
+ {%- else %}
47
+ {{- '<|im_start|>' + message.role + '\n' + content }}
48
+ {%- endif %}
49
+ {%- else %}
50
+ {{- '<|im_start|>' + message.role + '\n' + content }}
51
+ {%- endif %}
52
+ {%- if message.tool_calls %}
53
+ {%- for tool_call in message.tool_calls %}
54
+ {%- if (loop.first and content) or (not loop.first) %}
55
+ {{- '\n' }}
56
+ {%- endif %}
57
+ {%- if tool_call.function %}
58
+ {%- set tool_call = tool_call.function %}
59
+ {%- endif %}
60
+ {{- '<tool_call>\n{"name": "' }}
61
+ {{- tool_call.name }}
62
+ {{- '", "arguments": ' }}
63
+ {%- if tool_call.arguments is string %}
64
+ {{- tool_call.arguments }}
65
+ {%- else %}
66
+ {{- tool_call.arguments | tojson }}
67
+ {%- endif %}
68
+ {{- '}\n</tool_call>' }}
69
+ {%- endfor %}
70
+ {%- endif %}
71
+ {{- '<|im_end|>\n' }}
72
+ {%- elif message.role == "tool" %}
73
+ {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
74
+ {{- '<|im_start|>user' }}
75
+ {%- endif %}
76
+ {{- '\n<tool_response>\n' }}
77
+ {{- content }}
78
+ {{- '\n</tool_response>' }}
79
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
80
+ {{- '<|im_end|>\n' }}
81
+ {%- endif %}
82
+ {%- endif %}
83
+ {%- endfor %}
84
+ {%- if add_generation_prompt %}
85
+ {{- '<|im_start|>assistant\n' }}
86
+ {%- if enable_thinking is defined and enable_thinking is false %}
87
+ {{- '<think>\n\n</think>\n\n' }}
88
+ {%- endif %}
89
+ {%- endif %}
checkpoint-2000/added_tokens.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</think>": 151668,
3
+ "</tool_call>": 151658,
4
+ "</tool_response>": 151666,
5
+ "<think>": 151667,
6
+ "<tool_call>": 151657,
7
+ "<tool_response>": 151665,
8
+ "<|box_end|>": 151649,
9
+ "<|box_start|>": 151648,
10
+ "<|endoftext|>": 151643,
11
+ "<|file_sep|>": 151664,
12
+ "<|fim_middle|>": 151660,
13
+ "<|fim_pad|>": 151662,
14
+ "<|fim_prefix|>": 151659,
15
+ "<|fim_suffix|>": 151661,
16
+ "<|im_end|>": 151645,
17
+ "<|im_start|>": 151644,
18
+ "<|image_pad|>": 151655,
19
+ "<|object_ref_end|>": 151647,
20
+ "<|object_ref_start|>": 151646,
21
+ "<|quad_end|>": 151651,
22
+ "<|quad_start|>": 151650,
23
+ "<|repo_name|>": 151663,
24
+ "<|video_pad|>": 151656,
25
+ "<|vision_end|>": 151653,
26
+ "<|vision_pad|>": 151654,
27
+ "<|vision_start|>": 151652
28
+ }
checkpoint-2000/chat_template.jinja ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0].role == 'system' %}
4
+ {{- messages[0].content + '\n\n' }}
5
+ {%- endif %}
6
+ {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
7
+ {%- for tool in tools %}
8
+ {{- "\n" }}
9
+ {{- tool | tojson }}
10
+ {%- endfor %}
11
+ {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
12
+ {%- else %}
13
+ {%- if messages[0].role == 'system' %}
14
+ {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
15
+ {%- endif %}
16
+ {%- endif %}
17
+ {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
18
+ {%- for message in messages[::-1] %}
19
+ {%- set index = (messages|length - 1) - loop.index0 %}
20
+ {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
21
+ {%- set ns.multi_step_tool = false %}
22
+ {%- set ns.last_query_index = index %}
23
+ {%- endif %}
24
+ {%- endfor %}
25
+ {%- for message in messages %}
26
+ {%- if message.content is string %}
27
+ {%- set content = message.content %}
28
+ {%- else %}
29
+ {%- set content = '' %}
30
+ {%- endif %}
31
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
32
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
33
+ {%- elif message.role == "assistant" %}
34
+ {%- set reasoning_content = '' %}
35
+ {%- if message.reasoning_content is string %}
36
+ {%- set reasoning_content = message.reasoning_content %}
37
+ {%- else %}
38
+ {%- if '</think>' in content %}
39
+ {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
40
+ {%- set content = content.split('</think>')[-1].lstrip('\n') %}
41
+ {%- endif %}
42
+ {%- endif %}
43
+ {%- if loop.index0 > ns.last_query_index %}
44
+ {%- if loop.last or (not loop.last and reasoning_content) %}
45
+ {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
46
+ {%- else %}
47
+ {{- '<|im_start|>' + message.role + '\n' + content }}
48
+ {%- endif %}
49
+ {%- else %}
50
+ {{- '<|im_start|>' + message.role + '\n' + content }}
51
+ {%- endif %}
52
+ {%- if message.tool_calls %}
53
+ {%- for tool_call in message.tool_calls %}
54
+ {%- if (loop.first and content) or (not loop.first) %}
55
+ {{- '\n' }}
56
+ {%- endif %}
57
+ {%- if tool_call.function %}
58
+ {%- set tool_call = tool_call.function %}
59
+ {%- endif %}
60
+ {{- '<tool_call>\n{"name": "' }}
61
+ {{- tool_call.name }}
62
+ {{- '", "arguments": ' }}
63
+ {%- if tool_call.arguments is string %}
64
+ {{- tool_call.arguments }}
65
+ {%- else %}
66
+ {{- tool_call.arguments | tojson }}
67
+ {%- endif %}
68
+ {{- '}\n</tool_call>' }}
69
+ {%- endfor %}
70
+ {%- endif %}
71
+ {{- '<|im_end|>\n' }}
72
+ {%- elif message.role == "tool" %}
73
+ {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
74
+ {{- '<|im_start|>user' }}
75
+ {%- endif %}
76
+ {{- '\n<tool_response>\n' }}
77
+ {{- content }}
78
+ {{- '\n</tool_response>' }}
79
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
80
+ {{- '<|im_end|>\n' }}
81
+ {%- endif %}
82
+ {%- endif %}
83
+ {%- endfor %}
84
+ {%- if add_generation_prompt %}
85
+ {{- '<|im_start|>assistant\n' }}
86
+ {%- if enable_thinking is defined and enable_thinking is false %}
87
+ {{- '<think>\n\n</think>\n\n' }}
88
+ {%- endif %}
89
+ {%- endif %}
checkpoint-2000/config.json ADDED
@@ -0,0 +1,69 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3ForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "eos_token_id": 151645,
9
+ "head_dim": 128,
10
+ "hidden_act": "silu",
11
+ "hidden_size": 4096,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 12288,
14
+ "layer_types": [
15
+ "full_attention",
16
+ "full_attention",
17
+ "full_attention",
18
+ "full_attention",
19
+ "full_attention",
20
+ "full_attention",
21
+ "full_attention",
22
+ "full_attention",
23
+ "full_attention",
24
+ "full_attention",
25
+ "full_attention",
26
+ "full_attention",
27
+ "full_attention",
28
+ "full_attention",
29
+ "full_attention",
30
+ "full_attention",
31
+ "full_attention",
32
+ "full_attention",
33
+ "full_attention",
34
+ "full_attention",
35
+ "full_attention",
36
+ "full_attention",
37
+ "full_attention",
38
+ "full_attention",
39
+ "full_attention",
40
+ "full_attention",
41
+ "full_attention",
42
+ "full_attention",
43
+ "full_attention",
44
+ "full_attention",
45
+ "full_attention",
46
+ "full_attention",
47
+ "full_attention",
48
+ "full_attention",
49
+ "full_attention",
50
+ "full_attention"
51
+ ],
52
+ "max_position_embeddings": 40960,
53
+ "max_window_layers": 36,
54
+ "model_type": "qwen3",
55
+ "num_attention_heads": 32,
56
+ "num_hidden_layers": 36,
57
+ "num_key_value_heads": 8,
58
+ "pad_token_id": 151645,
59
+ "rms_norm_eps": 1e-06,
60
+ "rope_scaling": null,
61
+ "rope_theta": 1000000,
62
+ "sliding_window": null,
63
+ "tie_word_embeddings": false,
64
+ "torch_dtype": "bfloat16",
65
+ "transformers_version": "4.53.2",
66
+ "use_cache": true,
67
+ "use_sliding_window": false,
68
+ "vocab_size": 151936
69
+ }
checkpoint-2000/generation_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "temperature": 0.6,
10
+ "top_k": 20,
11
+ "top_p": 0.95,
12
+ "transformers_version": "4.53.2"
13
+ }
checkpoint-2000/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-2000/model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:72a661503358fc7f748198f0e4e27dc8fac79a42a8f1ab84038b6217b367f536
3
+ size 4902257696
checkpoint-2000/model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6630cc645548ee1904a855b1b9cbe1dfcf0ebd2e1e6901a34cc7150df80d3257
3
+ size 4915960368
checkpoint-2000/model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:49213de4dd8a677896f4ad57e0ed995e1ee5bfcc2758da2e371405c04ff46fe3
3
+ size 4983068496
checkpoint-2000/model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7c35cf06a78fd0e40defe95ce5a54aced4212638921b2a55696f15446992ad13
3
+ size 1580230264
checkpoint-2000/model.safetensors.index.json ADDED
@@ -0,0 +1,407 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_parameters": 8190735360,
4
+ "total_size": 16381470720
5
+ },
6
+ "weight_map": {
7
+ "lm_head.weight": "model-00004-of-00004.safetensors",
8
+ "model.embed_tokens.weight": "model-00001-of-00004.safetensors",
9
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
10
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
11
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
12
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
13
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
14
+ "model.layers.0.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
15
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
16
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
17
+ "model.layers.0.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
18
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
19
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
20
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
21
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
22
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
23
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
24
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
25
+ "model.layers.1.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
26
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
27
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
28
+ "model.layers.1.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
29
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
30
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
31
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
32
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
33
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
34
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
35
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
36
+ "model.layers.10.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
37
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
38
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
39
+ "model.layers.10.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
40
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
41
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
42
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
43
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
44
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
45
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
46
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
47
+ "model.layers.11.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
48
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
49
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
50
+ "model.layers.11.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
51
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
52
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
53
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
54
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
55
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
56
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
57
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
58
+ "model.layers.12.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
59
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
60
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
61
+ "model.layers.12.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
62
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
63
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
64
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
65
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
66
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
67
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
68
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
69
+ "model.layers.13.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
70
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
71
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
72
+ "model.layers.13.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
73
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
74
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
75
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
76
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
77
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
78
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
79
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
80
+ "model.layers.14.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
81
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
82
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
83
+ "model.layers.14.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
84
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
85
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
86
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
87
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
88
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
89
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
90
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
91
+ "model.layers.15.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
92
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
93
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
94
+ "model.layers.15.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
95
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
96
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
97
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
98
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
99
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
100
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
101
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
102
+ "model.layers.16.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
103
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
104
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
105
+ "model.layers.16.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
106
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
107
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
108
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
109
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
110
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
111
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
112
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
113
+ "model.layers.17.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
114
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
115
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
116
+ "model.layers.17.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
117
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
118
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
119
+ "model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
120
+ "model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
121
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
122
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
123
+ "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
124
+ "model.layers.18.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
125
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
126
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
127
+ "model.layers.18.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
128
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
129
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
130
+ "model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
131
+ "model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
132
+ "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
133
+ "model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
134
+ "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
135
+ "model.layers.19.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
136
+ "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
137
+ "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
138
+ "model.layers.19.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
139
+ "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
140
+ "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
141
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
142
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
143
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
144
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
145
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
146
+ "model.layers.2.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
147
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
148
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
149
+ "model.layers.2.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
150
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
151
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
152
+ "model.layers.20.input_layernorm.weight": "model-00002-of-00004.safetensors",
153
+ "model.layers.20.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
154
+ "model.layers.20.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
155
+ "model.layers.20.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
156
+ "model.layers.20.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
157
+ "model.layers.20.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
158
+ "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
159
+ "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
160
+ "model.layers.20.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
161
+ "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
162
+ "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
163
+ "model.layers.21.input_layernorm.weight": "model-00002-of-00004.safetensors",
164
+ "model.layers.21.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
165
+ "model.layers.21.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
166
+ "model.layers.21.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
167
+ "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
168
+ "model.layers.21.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
169
+ "model.layers.21.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
170
+ "model.layers.21.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
171
+ "model.layers.21.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
172
+ "model.layers.21.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
173
+ "model.layers.21.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
174
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
175
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
176
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
177
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
178
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
179
+ "model.layers.22.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
180
+ "model.layers.22.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
181
+ "model.layers.22.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
182
+ "model.layers.22.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
183
+ "model.layers.22.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
184
+ "model.layers.22.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
185
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
186
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
187
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
188
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
189
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
190
+ "model.layers.23.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
191
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
192
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
193
+ "model.layers.23.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
194
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
195
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
196
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
197
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
198
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
199
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
200
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
201
+ "model.layers.24.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
202
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
203
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
204
+ "model.layers.24.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
205
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
206
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
207
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
208
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
209
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
210
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
211
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
212
+ "model.layers.25.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
213
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
214
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
215
+ "model.layers.25.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
216
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
217
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
218
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
219
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
220
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
221
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
222
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
223
+ "model.layers.26.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
224
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
225
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
226
+ "model.layers.26.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
227
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
228
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
229
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
230
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
231
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
232
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
233
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
234
+ "model.layers.27.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
235
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
236
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
237
+ "model.layers.27.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
238
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
239
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
240
+ "model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
241
+ "model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
242
+ "model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
243
+ "model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
244
+ "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
245
+ "model.layers.28.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
246
+ "model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
247
+ "model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
248
+ "model.layers.28.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
249
+ "model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
250
+ "model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
251
+ "model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
252
+ "model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
253
+ "model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
254
+ "model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
255
+ "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
256
+ "model.layers.29.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
257
+ "model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
258
+ "model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
259
+ "model.layers.29.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
260
+ "model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
261
+ "model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
262
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
263
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
264
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
265
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
266
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
267
+ "model.layers.3.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
268
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
269
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
270
+ "model.layers.3.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
271
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
272
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
273
+ "model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
274
+ "model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
275
+ "model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
276
+ "model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
277
+ "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
278
+ "model.layers.30.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
279
+ "model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
280
+ "model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
281
+ "model.layers.30.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
282
+ "model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
283
+ "model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
284
+ "model.layers.31.input_layernorm.weight": "model-00003-of-00004.safetensors",
285
+ "model.layers.31.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
286
+ "model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
287
+ "model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
288
+ "model.layers.31.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
289
+ "model.layers.31.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
290
+ "model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
291
+ "model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
292
+ "model.layers.31.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
293
+ "model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
294
+ "model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
295
+ "model.layers.32.input_layernorm.weight": "model-00003-of-00004.safetensors",
296
+ "model.layers.32.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
297
+ "model.layers.32.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
298
+ "model.layers.32.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
299
+ "model.layers.32.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
300
+ "model.layers.32.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
301
+ "model.layers.32.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
302
+ "model.layers.32.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
303
+ "model.layers.32.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
304
+ "model.layers.32.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
305
+ "model.layers.32.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
306
+ "model.layers.33.input_layernorm.weight": "model-00003-of-00004.safetensors",
307
+ "model.layers.33.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
308
+ "model.layers.33.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
309
+ "model.layers.33.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
310
+ "model.layers.33.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
311
+ "model.layers.33.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
312
+ "model.layers.33.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
313
+ "model.layers.33.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
314
+ "model.layers.33.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
315
+ "model.layers.33.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
316
+ "model.layers.33.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
317
+ "model.layers.34.input_layernorm.weight": "model-00003-of-00004.safetensors",
318
+ "model.layers.34.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
319
+ "model.layers.34.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
320
+ "model.layers.34.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
321
+ "model.layers.34.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
322
+ "model.layers.34.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
323
+ "model.layers.34.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
324
+ "model.layers.34.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
325
+ "model.layers.34.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
326
+ "model.layers.34.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
327
+ "model.layers.34.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
328
+ "model.layers.35.input_layernorm.weight": "model-00004-of-00004.safetensors",
329
+ "model.layers.35.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
330
+ "model.layers.35.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
331
+ "model.layers.35.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
332
+ "model.layers.35.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
333
+ "model.layers.35.self_attn.k_norm.weight": "model-00004-of-00004.safetensors",
334
+ "model.layers.35.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
335
+ "model.layers.35.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
336
+ "model.layers.35.self_attn.q_norm.weight": "model-00004-of-00004.safetensors",
337
+ "model.layers.35.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
338
+ "model.layers.35.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
339
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
340
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
341
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
342
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
343
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
344
+ "model.layers.4.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
345
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
346
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
347
+ "model.layers.4.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
348
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
349
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
350
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
351
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
352
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
353
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
354
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
355
+ "model.layers.5.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
356
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
357
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
358
+ "model.layers.5.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
359
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
360
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
361
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
362
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
363
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
364
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
365
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
366
+ "model.layers.6.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
367
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
368
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
369
+ "model.layers.6.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
370
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
371
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
372
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
373
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
374
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
375
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
376
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
377
+ "model.layers.7.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
378
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
379
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
380
+ "model.layers.7.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
381
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
382
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
383
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00004.safetensors",
384
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
385
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
386
+ "model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
387
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
388
+ "model.layers.8.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
389
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
390
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
391
+ "model.layers.8.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
392
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
393
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
394
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
395
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
396
+ "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
397
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
398
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
399
+ "model.layers.9.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
400
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
401
+ "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
402
+ "model.layers.9.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
403
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
404
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
405
+ "model.norm.weight": "model-00004-of-00004.safetensors"
406
+ }
407
+ }
checkpoint-2000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1eb38f0a856c6c4e212803c2b21704a13bc6ccd6a63a5eb5090edc9d15519de1
3
+ size 20352462887
checkpoint-2000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:098b29492211804ab324a36f37466821d948280bb74fce4ba895c03f13ecd878
3
+ size 14645
checkpoint-2000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2c7275da27cd6d8afc6f83e89aaeee51f4b0296432befdb7022c488fe945113b
3
+ size 1465
checkpoint-2000/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
checkpoint-2000/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:87f628ab012786f273df0e8d4f24c4142b79cd5c0d105f6a670de0a11feafcb1
3
+ size 11422919
checkpoint-2000/tokenizer_config.json ADDED
@@ -0,0 +1,240 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "151665": {
182
+ "content": "<tool_response>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": false
188
+ },
189
+ "151666": {
190
+ "content": "</tool_response>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": false
196
+ },
197
+ "151667": {
198
+ "content": "<think>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": false
204
+ },
205
+ "151668": {
206
+ "content": "</think>",
207
+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": false
212
+ }
213
+ },
214
+ "additional_special_tokens": [
215
+ "<|im_start|>",
216
+ "<|im_end|>",
217
+ "<|object_ref_start|>",
218
+ "<|object_ref_end|>",
219
+ "<|box_start|>",
220
+ "<|box_end|>",
221
+ "<|quad_start|>",
222
+ "<|quad_end|>",
223
+ "<|vision_start|>",
224
+ "<|vision_end|>",
225
+ "<|vision_pad|>",
226
+ "<|image_pad|>",
227
+ "<|video_pad|>"
228
+ ],
229
+ "bos_token": null,
230
+ "clean_up_tokenization_spaces": false,
231
+ "eos_token": "<|im_end|>",
232
+ "errors": "replace",
233
+ "extra_special_tokens": {},
234
+ "model_max_length": 131072,
235
+ "pad_token": "<|endoftext|>",
236
+ "padding_side": "left",
237
+ "split_special_tokens": false,
238
+ "tokenizer_class": "Qwen2Tokenizer",
239
+ "unk_token": null
240
+ }
checkpoint-2000/trainer_state.json ADDED
@@ -0,0 +1,1434 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.5197568389057752,
6
+ "eval_steps": 500,
7
+ "global_step": 2000,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.007598784194528876,
14
+ "grad_norm": 21.75,
15
+ "learning_rate": 9e-06,
16
+ "loss": 3.4313,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.015197568389057751,
21
+ "grad_norm": 81.0,
22
+ "learning_rate": 1.9e-05,
23
+ "loss": 2.2326,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.022796352583586626,
28
+ "grad_norm": 85.5,
29
+ "learning_rate": 2.9e-05,
30
+ "loss": 1.4425,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.030395136778115502,
35
+ "grad_norm": 2.609375,
36
+ "learning_rate": 3.9000000000000006e-05,
37
+ "loss": 0.9761,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.037993920972644375,
42
+ "grad_norm": 2.890625,
43
+ "learning_rate": 4.9e-05,
44
+ "loss": 0.8592,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.04559270516717325,
49
+ "grad_norm": 2.640625,
50
+ "learning_rate": 5.9e-05,
51
+ "loss": 0.8049,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.05319148936170213,
56
+ "grad_norm": 2.9375,
57
+ "learning_rate": 6.9e-05,
58
+ "loss": 0.9155,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.060790273556231005,
63
+ "grad_norm": 1.9453125,
64
+ "learning_rate": 7.900000000000001e-05,
65
+ "loss": 0.8197,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.06838905775075987,
70
+ "grad_norm": 2.0,
71
+ "learning_rate": 8.900000000000001e-05,
72
+ "loss": 0.7834,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.07598784194528875,
77
+ "grad_norm": 2.203125,
78
+ "learning_rate": 9.900000000000001e-05,
79
+ "loss": 0.8179,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.08358662613981763,
84
+ "grad_norm": 1.984375,
85
+ "learning_rate": 9.958139534883721e-05,
86
+ "loss": 0.7661,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.0911854103343465,
91
+ "grad_norm": 1.9140625,
92
+ "learning_rate": 9.911627906976745e-05,
93
+ "loss": 0.8447,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.09878419452887538,
98
+ "grad_norm": 1.6484375,
99
+ "learning_rate": 9.865116279069768e-05,
100
+ "loss": 0.8758,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.10638297872340426,
105
+ "grad_norm": 2.171875,
106
+ "learning_rate": 9.818604651162792e-05,
107
+ "loss": 0.752,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.11398176291793313,
112
+ "grad_norm": 1.671875,
113
+ "learning_rate": 9.772093023255814e-05,
114
+ "loss": 0.788,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.12158054711246201,
119
+ "grad_norm": 1.390625,
120
+ "learning_rate": 9.725581395348837e-05,
121
+ "loss": 0.7352,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.12917933130699089,
126
+ "grad_norm": 1.5546875,
127
+ "learning_rate": 9.67906976744186e-05,
128
+ "loss": 0.7905,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.13677811550151975,
133
+ "grad_norm": 1.6953125,
134
+ "learning_rate": 9.632558139534884e-05,
135
+ "loss": 0.7821,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.14437689969604864,
140
+ "grad_norm": 1.359375,
141
+ "learning_rate": 9.586046511627908e-05,
142
+ "loss": 0.6274,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.1519756838905775,
147
+ "grad_norm": 1.6875,
148
+ "learning_rate": 9.539534883720931e-05,
149
+ "loss": 0.7823,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.1595744680851064,
154
+ "grad_norm": 1.75,
155
+ "learning_rate": 9.493023255813955e-05,
156
+ "loss": 0.725,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.16717325227963525,
161
+ "grad_norm": 1.3828125,
162
+ "learning_rate": 9.446511627906977e-05,
163
+ "loss": 0.7733,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.17477203647416414,
168
+ "grad_norm": 1.5390625,
169
+ "learning_rate": 9.4e-05,
170
+ "loss": 0.7945,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.182370820668693,
175
+ "grad_norm": 1.5625,
176
+ "learning_rate": 9.353488372093023e-05,
177
+ "loss": 0.7283,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.1899696048632219,
182
+ "grad_norm": 1.578125,
183
+ "learning_rate": 9.306976744186047e-05,
184
+ "loss": 0.6244,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.19756838905775076,
189
+ "grad_norm": 1.546875,
190
+ "learning_rate": 9.26046511627907e-05,
191
+ "loss": 0.6776,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.20516717325227962,
196
+ "grad_norm": 1.234375,
197
+ "learning_rate": 9.213953488372094e-05,
198
+ "loss": 0.6386,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.2127659574468085,
203
+ "grad_norm": 1.53125,
204
+ "learning_rate": 9.167441860465116e-05,
205
+ "loss": 0.6425,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.22036474164133737,
210
+ "grad_norm": 1.453125,
211
+ "learning_rate": 9.12093023255814e-05,
212
+ "loss": 0.5976,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.22796352583586627,
217
+ "grad_norm": 1.40625,
218
+ "learning_rate": 9.074418604651164e-05,
219
+ "loss": 0.6518,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.23556231003039513,
224
+ "grad_norm": 1.71875,
225
+ "learning_rate": 9.027906976744186e-05,
226
+ "loss": 0.6024,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.24316109422492402,
231
+ "grad_norm": 1.3515625,
232
+ "learning_rate": 8.98139534883721e-05,
233
+ "loss": 0.6896,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.2507598784194529,
238
+ "grad_norm": 1.59375,
239
+ "learning_rate": 8.934883720930233e-05,
240
+ "loss": 0.5574,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.25835866261398177,
245
+ "grad_norm": 1.0625,
246
+ "learning_rate": 8.888372093023257e-05,
247
+ "loss": 0.5795,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.26595744680851063,
252
+ "grad_norm": 1.109375,
253
+ "learning_rate": 8.841860465116279e-05,
254
+ "loss": 0.6064,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.2735562310030395,
259
+ "grad_norm": 1.015625,
260
+ "learning_rate": 8.795348837209303e-05,
261
+ "loss": 0.527,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.2811550151975684,
266
+ "grad_norm": 0.92578125,
267
+ "learning_rate": 8.748837209302326e-05,
268
+ "loss": 0.5996,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.2887537993920973,
273
+ "grad_norm": 1.375,
274
+ "learning_rate": 8.70232558139535e-05,
275
+ "loss": 0.5588,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.29635258358662614,
280
+ "grad_norm": 1.546875,
281
+ "learning_rate": 8.655813953488372e-05,
282
+ "loss": 0.5675,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.303951367781155,
287
+ "grad_norm": 1.28125,
288
+ "learning_rate": 8.609302325581396e-05,
289
+ "loss": 0.5708,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.31155015197568386,
294
+ "grad_norm": 1.265625,
295
+ "learning_rate": 8.562790697674418e-05,
296
+ "loss": 0.593,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.3191489361702128,
301
+ "grad_norm": 1.3125,
302
+ "learning_rate": 8.516279069767442e-05,
303
+ "loss": 0.5349,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.32674772036474165,
308
+ "grad_norm": 1.46875,
309
+ "learning_rate": 8.469767441860465e-05,
310
+ "loss": 0.4981,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.3343465045592705,
315
+ "grad_norm": 1.3046875,
316
+ "learning_rate": 8.423255813953489e-05,
317
+ "loss": 0.5477,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.34194528875379937,
322
+ "grad_norm": 1.109375,
323
+ "learning_rate": 8.376744186046513e-05,
324
+ "loss": 0.5359,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.3495440729483283,
329
+ "grad_norm": 1.15625,
330
+ "learning_rate": 8.330232558139536e-05,
331
+ "loss": 0.5612,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.35714285714285715,
336
+ "grad_norm": 1.1796875,
337
+ "learning_rate": 8.283720930232559e-05,
338
+ "loss": 0.5386,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.364741641337386,
343
+ "grad_norm": 1.0625,
344
+ "learning_rate": 8.237209302325581e-05,
345
+ "loss": 0.4443,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.3723404255319149,
350
+ "grad_norm": 1.0703125,
351
+ "learning_rate": 8.190697674418605e-05,
352
+ "loss": 0.5386,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.3799392097264438,
357
+ "grad_norm": 1.140625,
358
+ "learning_rate": 8.144186046511628e-05,
359
+ "loss": 0.4538,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.38753799392097266,
364
+ "grad_norm": 1.390625,
365
+ "learning_rate": 8.097674418604652e-05,
366
+ "loss": 0.4705,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.3951367781155015,
371
+ "grad_norm": 1.15625,
372
+ "learning_rate": 8.051162790697675e-05,
373
+ "loss": 0.5122,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.4027355623100304,
378
+ "grad_norm": 1.2578125,
379
+ "learning_rate": 8.004651162790698e-05,
380
+ "loss": 0.4675,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.41033434650455924,
385
+ "grad_norm": 1.3046875,
386
+ "learning_rate": 7.958139534883721e-05,
387
+ "loss": 0.5141,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.41793313069908816,
392
+ "grad_norm": 1.0625,
393
+ "learning_rate": 7.911627906976744e-05,
394
+ "loss": 0.492,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.425531914893617,
399
+ "grad_norm": 1.21875,
400
+ "learning_rate": 7.865116279069767e-05,
401
+ "loss": 0.4708,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.4331306990881459,
406
+ "grad_norm": 1.296875,
407
+ "learning_rate": 7.818604651162791e-05,
408
+ "loss": 0.4668,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.44072948328267475,
413
+ "grad_norm": 1.2109375,
414
+ "learning_rate": 7.772093023255815e-05,
415
+ "loss": 0.4105,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.44832826747720367,
420
+ "grad_norm": 1.0859375,
421
+ "learning_rate": 7.725581395348838e-05,
422
+ "loss": 0.4586,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.45592705167173253,
427
+ "grad_norm": 1.2890625,
428
+ "learning_rate": 7.67906976744186e-05,
429
+ "loss": 0.4625,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.4635258358662614,
434
+ "grad_norm": 0.83984375,
435
+ "learning_rate": 7.632558139534884e-05,
436
+ "loss": 0.4149,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.47112462006079026,
441
+ "grad_norm": 0.97265625,
442
+ "learning_rate": 7.586046511627908e-05,
443
+ "loss": 0.4588,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.4787234042553192,
448
+ "grad_norm": 1.21875,
449
+ "learning_rate": 7.53953488372093e-05,
450
+ "loss": 0.4162,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.48632218844984804,
455
+ "grad_norm": 0.9296875,
456
+ "learning_rate": 7.493023255813954e-05,
457
+ "loss": 0.3976,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.4939209726443769,
462
+ "grad_norm": 1.3046875,
463
+ "learning_rate": 7.446511627906977e-05,
464
+ "loss": 0.4161,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.5015197568389058,
469
+ "grad_norm": 1.1640625,
470
+ "learning_rate": 7.4e-05,
471
+ "loss": 0.3689,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.5091185410334347,
476
+ "grad_norm": 0.8828125,
477
+ "learning_rate": 7.353488372093023e-05,
478
+ "loss": 0.427,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.5167173252279635,
483
+ "grad_norm": 0.9921875,
484
+ "learning_rate": 7.306976744186047e-05,
485
+ "loss": 0.3842,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.5243161094224924,
490
+ "grad_norm": 0.96484375,
491
+ "learning_rate": 7.26046511627907e-05,
492
+ "loss": 0.3853,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.5319148936170213,
497
+ "grad_norm": 1.0546875,
498
+ "learning_rate": 7.213953488372094e-05,
499
+ "loss": 0.3235,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.5395136778115501,
504
+ "grad_norm": 1.0546875,
505
+ "learning_rate": 7.167441860465116e-05,
506
+ "loss": 0.3763,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.547112462006079,
511
+ "grad_norm": 0.86328125,
512
+ "learning_rate": 7.12093023255814e-05,
513
+ "loss": 0.3651,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.5547112462006079,
518
+ "grad_norm": 0.97265625,
519
+ "learning_rate": 7.074418604651162e-05,
520
+ "loss": 0.3187,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.5623100303951368,
525
+ "grad_norm": 1.0859375,
526
+ "learning_rate": 7.027906976744186e-05,
527
+ "loss": 0.3752,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.5699088145896657,
532
+ "grad_norm": 1.1328125,
533
+ "learning_rate": 6.98139534883721e-05,
534
+ "loss": 0.3639,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.5775075987841946,
539
+ "grad_norm": 0.9609375,
540
+ "learning_rate": 6.934883720930233e-05,
541
+ "loss": 0.3682,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.5851063829787234,
546
+ "grad_norm": 0.7109375,
547
+ "learning_rate": 6.888372093023257e-05,
548
+ "loss": 0.3418,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.5927051671732523,
553
+ "grad_norm": 0.96875,
554
+ "learning_rate": 6.841860465116279e-05,
555
+ "loss": 0.3567,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.6003039513677811,
560
+ "grad_norm": 0.9375,
561
+ "learning_rate": 6.795348837209301e-05,
562
+ "loss": 0.371,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.60790273556231,
567
+ "grad_norm": 1.15625,
568
+ "learning_rate": 6.748837209302325e-05,
569
+ "loss": 0.334,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.6155015197568389,
574
+ "grad_norm": 0.921875,
575
+ "learning_rate": 6.702325581395349e-05,
576
+ "loss": 0.3043,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.6231003039513677,
581
+ "grad_norm": 1.0390625,
582
+ "learning_rate": 6.655813953488372e-05,
583
+ "loss": 0.3049,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.6306990881458967,
588
+ "grad_norm": 0.9453125,
589
+ "learning_rate": 6.609302325581396e-05,
590
+ "loss": 0.2673,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.6382978723404256,
595
+ "grad_norm": 1.03125,
596
+ "learning_rate": 6.56279069767442e-05,
597
+ "loss": 0.3203,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.6458966565349544,
602
+ "grad_norm": 1.078125,
603
+ "learning_rate": 6.516279069767442e-05,
604
+ "loss": 0.3552,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.6534954407294833,
609
+ "grad_norm": 0.62890625,
610
+ "learning_rate": 6.469767441860466e-05,
611
+ "loss": 0.2805,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.6610942249240122,
616
+ "grad_norm": 1.0703125,
617
+ "learning_rate": 6.423255813953488e-05,
618
+ "loss": 0.3399,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.668693009118541,
623
+ "grad_norm": 0.96875,
624
+ "learning_rate": 6.376744186046512e-05,
625
+ "loss": 0.2798,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.6762917933130699,
630
+ "grad_norm": 1.0234375,
631
+ "learning_rate": 6.330232558139535e-05,
632
+ "loss": 0.3096,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.6838905775075987,
637
+ "grad_norm": 0.8984375,
638
+ "learning_rate": 6.283720930232559e-05,
639
+ "loss": 0.3162,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.6914893617021277,
644
+ "grad_norm": 1.03125,
645
+ "learning_rate": 6.237209302325581e-05,
646
+ "loss": 0.2926,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.6990881458966566,
651
+ "grad_norm": 1.0703125,
652
+ "learning_rate": 6.190697674418605e-05,
653
+ "loss": 0.3684,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.7066869300911854,
658
+ "grad_norm": 0.96875,
659
+ "learning_rate": 6.144186046511628e-05,
660
+ "loss": 0.3586,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.7142857142857143,
665
+ "grad_norm": 1.03125,
666
+ "learning_rate": 6.097674418604652e-05,
667
+ "loss": 0.3382,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.7218844984802432,
672
+ "grad_norm": 1.234375,
673
+ "learning_rate": 6.051162790697674e-05,
674
+ "loss": 0.3272,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.729483282674772,
679
+ "grad_norm": 1.015625,
680
+ "learning_rate": 6.004651162790698e-05,
681
+ "loss": 0.2808,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.7370820668693009,
686
+ "grad_norm": 1.1796875,
687
+ "learning_rate": 5.958139534883721e-05,
688
+ "loss": 0.2965,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.7446808510638298,
693
+ "grad_norm": 0.90234375,
694
+ "learning_rate": 5.9116279069767445e-05,
695
+ "loss": 0.2778,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.7522796352583586,
700
+ "grad_norm": 1.1015625,
701
+ "learning_rate": 5.8651162790697675e-05,
702
+ "loss": 0.3103,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.7598784194528876,
707
+ "grad_norm": 1.125,
708
+ "learning_rate": 5.818604651162791e-05,
709
+ "loss": 0.2904,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.7674772036474165,
714
+ "grad_norm": 0.76171875,
715
+ "learning_rate": 5.772093023255815e-05,
716
+ "loss": 0.3073,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.7750759878419453,
721
+ "grad_norm": 0.99609375,
722
+ "learning_rate": 5.725581395348838e-05,
723
+ "loss": 0.3001,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.7826747720364742,
728
+ "grad_norm": 1.0703125,
729
+ "learning_rate": 5.67906976744186e-05,
730
+ "loss": 0.2669,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.790273556231003,
735
+ "grad_norm": 0.85546875,
736
+ "learning_rate": 5.6325581395348836e-05,
737
+ "loss": 0.2502,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.7978723404255319,
742
+ "grad_norm": 0.91015625,
743
+ "learning_rate": 5.586046511627907e-05,
744
+ "loss": 0.306,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.8054711246200608,
749
+ "grad_norm": 1.0,
750
+ "learning_rate": 5.53953488372093e-05,
751
+ "loss": 0.2415,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.8130699088145896,
756
+ "grad_norm": 1.09375,
757
+ "learning_rate": 5.493023255813954e-05,
758
+ "loss": 0.2257,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.8206686930091185,
763
+ "grad_norm": 0.84765625,
764
+ "learning_rate": 5.4465116279069775e-05,
765
+ "loss": 0.2491,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.8282674772036475,
770
+ "grad_norm": 1.375,
771
+ "learning_rate": 5.4000000000000005e-05,
772
+ "loss": 0.2659,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.8358662613981763,
777
+ "grad_norm": 0.953125,
778
+ "learning_rate": 5.353488372093024e-05,
779
+ "loss": 0.2436,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.8434650455927052,
784
+ "grad_norm": 0.91015625,
785
+ "learning_rate": 5.3069767441860464e-05,
786
+ "loss": 0.2539,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.851063829787234,
791
+ "grad_norm": 0.7265625,
792
+ "learning_rate": 5.2604651162790694e-05,
793
+ "loss": 0.2449,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.8586626139817629,
798
+ "grad_norm": 1.03125,
799
+ "learning_rate": 5.213953488372093e-05,
800
+ "loss": 0.2424,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.8662613981762918,
805
+ "grad_norm": 0.82421875,
806
+ "learning_rate": 5.1674418604651166e-05,
807
+ "loss": 0.2565,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.8738601823708206,
812
+ "grad_norm": 1.0859375,
813
+ "learning_rate": 5.1209302325581396e-05,
814
+ "loss": 0.242,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.8814589665653495,
819
+ "grad_norm": 0.97265625,
820
+ "learning_rate": 5.074418604651163e-05,
821
+ "loss": 0.2415,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.8890577507598785,
826
+ "grad_norm": 1.2578125,
827
+ "learning_rate": 5.027906976744187e-05,
828
+ "loss": 0.2519,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.8966565349544073,
833
+ "grad_norm": 0.8515625,
834
+ "learning_rate": 4.981395348837209e-05,
835
+ "loss": 0.2545,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 0.9042553191489362,
840
+ "grad_norm": 0.69921875,
841
+ "learning_rate": 4.934883720930233e-05,
842
+ "loss": 0.2403,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 0.9118541033434651,
847
+ "grad_norm": 0.73046875,
848
+ "learning_rate": 4.8883720930232564e-05,
849
+ "loss": 0.2075,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 0.9194528875379939,
854
+ "grad_norm": 0.6875,
855
+ "learning_rate": 4.8418604651162794e-05,
856
+ "loss": 0.198,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 0.9270516717325228,
861
+ "grad_norm": 0.88671875,
862
+ "learning_rate": 4.7953488372093023e-05,
863
+ "loss": 0.216,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 0.9346504559270516,
868
+ "grad_norm": 0.66015625,
869
+ "learning_rate": 4.748837209302326e-05,
870
+ "loss": 0.1838,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 0.9422492401215805,
875
+ "grad_norm": 0.578125,
876
+ "learning_rate": 4.7023255813953496e-05,
877
+ "loss": 0.2367,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 0.9498480243161094,
882
+ "grad_norm": 1.1015625,
883
+ "learning_rate": 4.655813953488372e-05,
884
+ "loss": 0.1958,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 0.9574468085106383,
889
+ "grad_norm": 0.94921875,
890
+ "learning_rate": 4.6093023255813955e-05,
891
+ "loss": 0.1862,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 0.9650455927051672,
896
+ "grad_norm": 0.91015625,
897
+ "learning_rate": 4.562790697674419e-05,
898
+ "loss": 0.2328,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 0.9726443768996961,
903
+ "grad_norm": 0.85546875,
904
+ "learning_rate": 4.516279069767442e-05,
905
+ "loss": 0.2483,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 0.9802431610942249,
910
+ "grad_norm": 0.9453125,
911
+ "learning_rate": 4.469767441860465e-05,
912
+ "loss": 0.1677,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 0.9878419452887538,
917
+ "grad_norm": 0.9375,
918
+ "learning_rate": 4.423255813953489e-05,
919
+ "loss": 0.2192,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 0.9954407294832827,
924
+ "grad_norm": 0.859375,
925
+ "learning_rate": 4.376744186046512e-05,
926
+ "loss": 0.2357,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 1.0030395136778116,
931
+ "grad_norm": 0.59375,
932
+ "learning_rate": 4.3302325581395353e-05,
933
+ "loss": 0.1562,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 1.0106382978723405,
938
+ "grad_norm": 0.73828125,
939
+ "learning_rate": 4.283720930232558e-05,
940
+ "loss": 0.1043,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 1.0182370820668694,
945
+ "grad_norm": 0.75390625,
946
+ "learning_rate": 4.237209302325581e-05,
947
+ "loss": 0.106,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 1.0258358662613982,
952
+ "grad_norm": 0.859375,
953
+ "learning_rate": 4.190697674418605e-05,
954
+ "loss": 0.1041,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 1.033434650455927,
959
+ "grad_norm": 0.98046875,
960
+ "learning_rate": 4.1441860465116285e-05,
961
+ "loss": 0.1001,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 1.041033434650456,
966
+ "grad_norm": 0.65625,
967
+ "learning_rate": 4.0976744186046515e-05,
968
+ "loss": 0.0867,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 1.0486322188449848,
973
+ "grad_norm": 0.78515625,
974
+ "learning_rate": 4.0511627906976745e-05,
975
+ "loss": 0.1042,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 1.0562310030395137,
980
+ "grad_norm": 0.87109375,
981
+ "learning_rate": 4.004651162790698e-05,
982
+ "loss": 0.1049,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 1.0638297872340425,
987
+ "grad_norm": 0.578125,
988
+ "learning_rate": 3.958139534883721e-05,
989
+ "loss": 0.0948,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 1.0714285714285714,
994
+ "grad_norm": 0.9140625,
995
+ "learning_rate": 3.911627906976744e-05,
996
+ "loss": 0.0974,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 1.0790273556231003,
1001
+ "grad_norm": 0.703125,
1002
+ "learning_rate": 3.8651162790697677e-05,
1003
+ "loss": 0.1062,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 1.0866261398176291,
1008
+ "grad_norm": 0.8671875,
1009
+ "learning_rate": 3.818604651162791e-05,
1010
+ "loss": 0.0995,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 1.094224924012158,
1015
+ "grad_norm": 1.0078125,
1016
+ "learning_rate": 3.772093023255814e-05,
1017
+ "loss": 0.1188,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 1.1018237082066868,
1022
+ "grad_norm": 0.70703125,
1023
+ "learning_rate": 3.725581395348837e-05,
1024
+ "loss": 0.0929,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 1.1094224924012157,
1029
+ "grad_norm": 0.77734375,
1030
+ "learning_rate": 3.679069767441861e-05,
1031
+ "loss": 0.098,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 1.1170212765957448,
1036
+ "grad_norm": 0.6875,
1037
+ "learning_rate": 3.632558139534884e-05,
1038
+ "loss": 0.0958,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 1.1246200607902737,
1043
+ "grad_norm": 0.953125,
1044
+ "learning_rate": 3.5860465116279075e-05,
1045
+ "loss": 0.1008,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 1.1322188449848025,
1050
+ "grad_norm": 0.8984375,
1051
+ "learning_rate": 3.5395348837209304e-05,
1052
+ "loss": 0.1111,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 1.1398176291793314,
1057
+ "grad_norm": 0.68359375,
1058
+ "learning_rate": 3.4930232558139534e-05,
1059
+ "loss": 0.0917,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 1.1474164133738602,
1064
+ "grad_norm": 0.48828125,
1065
+ "learning_rate": 3.446511627906977e-05,
1066
+ "loss": 0.0912,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 1.155015197568389,
1071
+ "grad_norm": 0.94140625,
1072
+ "learning_rate": 3.4000000000000007e-05,
1073
+ "loss": 0.0948,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 1.162613981762918,
1078
+ "grad_norm": 0.83203125,
1079
+ "learning_rate": 3.353488372093023e-05,
1080
+ "loss": 0.0749,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 1.1702127659574468,
1085
+ "grad_norm": 0.953125,
1086
+ "learning_rate": 3.3069767441860466e-05,
1087
+ "loss": 0.1059,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 1.1778115501519757,
1092
+ "grad_norm": 0.6171875,
1093
+ "learning_rate": 3.26046511627907e-05,
1094
+ "loss": 0.0942,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 1.1854103343465046,
1099
+ "grad_norm": 0.48046875,
1100
+ "learning_rate": 3.213953488372093e-05,
1101
+ "loss": 0.0739,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 1.1930091185410334,
1106
+ "grad_norm": 1.078125,
1107
+ "learning_rate": 3.167441860465116e-05,
1108
+ "loss": 0.0931,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 1.2006079027355623,
1113
+ "grad_norm": 0.7265625,
1114
+ "learning_rate": 3.12093023255814e-05,
1115
+ "loss": 0.0955,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 1.2082066869300911,
1120
+ "grad_norm": 1.109375,
1121
+ "learning_rate": 3.074418604651163e-05,
1122
+ "loss": 0.0842,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 1.21580547112462,
1127
+ "grad_norm": 0.83203125,
1128
+ "learning_rate": 3.0279069767441864e-05,
1129
+ "loss": 0.0871,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 1.2234042553191489,
1134
+ "grad_norm": 1.171875,
1135
+ "learning_rate": 2.9813953488372093e-05,
1136
+ "loss": 0.0972,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 1.2310030395136777,
1141
+ "grad_norm": 0.5859375,
1142
+ "learning_rate": 2.9348837209302326e-05,
1143
+ "loss": 0.0752,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 1.2386018237082066,
1148
+ "grad_norm": 1.046875,
1149
+ "learning_rate": 2.888372093023256e-05,
1150
+ "loss": 0.0881,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 1.2462006079027357,
1155
+ "grad_norm": 0.5390625,
1156
+ "learning_rate": 2.8418604651162796e-05,
1157
+ "loss": 0.063,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 1.2537993920972643,
1162
+ "grad_norm": 0.7265625,
1163
+ "learning_rate": 2.7953488372093022e-05,
1164
+ "loss": 0.0964,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 1.2613981762917934,
1169
+ "grad_norm": 1.0234375,
1170
+ "learning_rate": 2.7488372093023258e-05,
1171
+ "loss": 0.0963,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 1.2689969604863223,
1176
+ "grad_norm": 0.8125,
1177
+ "learning_rate": 2.702325581395349e-05,
1178
+ "loss": 0.0675,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 1.2765957446808511,
1183
+ "grad_norm": 0.86328125,
1184
+ "learning_rate": 2.6558139534883724e-05,
1185
+ "loss": 0.0826,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 1.28419452887538,
1190
+ "grad_norm": 0.3359375,
1191
+ "learning_rate": 2.6093023255813954e-05,
1192
+ "loss": 0.0659,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 1.2917933130699089,
1197
+ "grad_norm": 0.494140625,
1198
+ "learning_rate": 2.5627906976744187e-05,
1199
+ "loss": 0.0869,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 1.2993920972644377,
1204
+ "grad_norm": 0.34375,
1205
+ "learning_rate": 2.516279069767442e-05,
1206
+ "loss": 0.0793,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 1.3069908814589666,
1211
+ "grad_norm": 0.9375,
1212
+ "learning_rate": 2.4697674418604653e-05,
1213
+ "loss": 0.0979,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 1.3145896656534954,
1218
+ "grad_norm": 0.65234375,
1219
+ "learning_rate": 2.4232558139534886e-05,
1220
+ "loss": 0.0848,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 1.3221884498480243,
1225
+ "grad_norm": 0.76171875,
1226
+ "learning_rate": 2.376744186046512e-05,
1227
+ "loss": 0.0944,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 1.3297872340425532,
1232
+ "grad_norm": 0.74609375,
1233
+ "learning_rate": 2.3302325581395352e-05,
1234
+ "loss": 0.0668,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 1.337386018237082,
1239
+ "grad_norm": 0.6328125,
1240
+ "learning_rate": 2.283720930232558e-05,
1241
+ "loss": 0.0787,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 1.344984802431611,
1246
+ "grad_norm": 0.79296875,
1247
+ "learning_rate": 2.2372093023255818e-05,
1248
+ "loss": 0.0708,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 1.3525835866261398,
1253
+ "grad_norm": 0.69140625,
1254
+ "learning_rate": 2.1906976744186047e-05,
1255
+ "loss": 0.0571,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 1.3601823708206686,
1260
+ "grad_norm": 0.734375,
1261
+ "learning_rate": 2.144186046511628e-05,
1262
+ "loss": 0.0626,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 1.3677811550151975,
1267
+ "grad_norm": 0.78125,
1268
+ "learning_rate": 2.0976744186046513e-05,
1269
+ "loss": 0.0687,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 1.3753799392097266,
1274
+ "grad_norm": 0.82421875,
1275
+ "learning_rate": 2.0511627906976746e-05,
1276
+ "loss": 0.0714,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 1.3829787234042552,
1281
+ "grad_norm": 0.74609375,
1282
+ "learning_rate": 2.0046511627906976e-05,
1283
+ "loss": 0.0639,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 1.3905775075987843,
1288
+ "grad_norm": 0.37109375,
1289
+ "learning_rate": 1.9581395348837212e-05,
1290
+ "loss": 0.0674,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 1.3981762917933132,
1295
+ "grad_norm": 0.4921875,
1296
+ "learning_rate": 1.9116279069767442e-05,
1297
+ "loss": 0.0664,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 1.405775075987842,
1302
+ "grad_norm": 0.78515625,
1303
+ "learning_rate": 1.8651162790697675e-05,
1304
+ "loss": 0.0593,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 1.4133738601823709,
1309
+ "grad_norm": 0.65625,
1310
+ "learning_rate": 1.8186046511627908e-05,
1311
+ "loss": 0.0686,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 1.4209726443768997,
1316
+ "grad_norm": 0.7421875,
1317
+ "learning_rate": 1.772093023255814e-05,
1318
+ "loss": 0.0844,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 1.4285714285714286,
1323
+ "grad_norm": 0.70703125,
1324
+ "learning_rate": 1.7255813953488374e-05,
1325
+ "loss": 0.0662,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 1.4361702127659575,
1330
+ "grad_norm": 0.578125,
1331
+ "learning_rate": 1.6790697674418607e-05,
1332
+ "loss": 0.0768,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 1.4437689969604863,
1337
+ "grad_norm": 0.462890625,
1338
+ "learning_rate": 1.6325581395348837e-05,
1339
+ "loss": 0.0686,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 1.4513677811550152,
1344
+ "grad_norm": 0.494140625,
1345
+ "learning_rate": 1.5860465116279073e-05,
1346
+ "loss": 0.0604,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 1.458966565349544,
1351
+ "grad_norm": 0.51171875,
1352
+ "learning_rate": 1.5395348837209303e-05,
1353
+ "loss": 0.0613,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 1.466565349544073,
1358
+ "grad_norm": 0.76171875,
1359
+ "learning_rate": 1.4930232558139537e-05,
1360
+ "loss": 0.0807,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 1.4741641337386018,
1365
+ "grad_norm": 0.796875,
1366
+ "learning_rate": 1.4465116279069768e-05,
1367
+ "loss": 0.0923,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 1.4817629179331306,
1372
+ "grad_norm": 1.015625,
1373
+ "learning_rate": 1.4000000000000001e-05,
1374
+ "loss": 0.0629,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 1.4893617021276595,
1379
+ "grad_norm": 0.80078125,
1380
+ "learning_rate": 1.3534883720930233e-05,
1381
+ "loss": 0.0709,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 1.4969604863221884,
1386
+ "grad_norm": 0.69140625,
1387
+ "learning_rate": 1.3069767441860467e-05,
1388
+ "loss": 0.0765,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 1.5045592705167175,
1393
+ "grad_norm": 0.765625,
1394
+ "learning_rate": 1.2604651162790699e-05,
1395
+ "loss": 0.07,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 1.512158054711246,
1400
+ "grad_norm": 0.546875,
1401
+ "learning_rate": 1.213953488372093e-05,
1402
+ "loss": 0.0614,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 1.5197568389057752,
1407
+ "grad_norm": 0.60546875,
1408
+ "learning_rate": 1.1674418604651163e-05,
1409
+ "loss": 0.0509,
1410
+ "step": 2000
1411
+ }
1412
+ ],
1413
+ "logging_steps": 10,
1414
+ "max_steps": 2250,
1415
+ "num_input_tokens_seen": 0,
1416
+ "num_train_epochs": 2,
1417
+ "save_steps": 500,
1418
+ "stateful_callbacks": {
1419
+ "TrainerControl": {
1420
+ "args": {
1421
+ "should_epoch_stop": false,
1422
+ "should_evaluate": false,
1423
+ "should_log": false,
1424
+ "should_save": true,
1425
+ "should_training_stop": false
1426
+ },
1427
+ "attributes": {}
1428
+ }
1429
+ },
1430
+ "total_flos": 2.361342517248e+17,
1431
+ "train_batch_size": 1,
1432
+ "trial_name": null,
1433
+ "trial_params": null
1434
+ }
checkpoint-2000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:277cd20c3839e147cecba08a82d3f578f086e071ac96bf5f6aac46383cb07206
3
+ size 5777
checkpoint-2000/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-2250/added_tokens.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</think>": 151668,
3
+ "</tool_call>": 151658,
4
+ "</tool_response>": 151666,
5
+ "<think>": 151667,
6
+ "<tool_call>": 151657,
7
+ "<tool_response>": 151665,
8
+ "<|box_end|>": 151649,
9
+ "<|box_start|>": 151648,
10
+ "<|endoftext|>": 151643,
11
+ "<|file_sep|>": 151664,
12
+ "<|fim_middle|>": 151660,
13
+ "<|fim_pad|>": 151662,
14
+ "<|fim_prefix|>": 151659,
15
+ "<|fim_suffix|>": 151661,
16
+ "<|im_end|>": 151645,
17
+ "<|im_start|>": 151644,
18
+ "<|image_pad|>": 151655,
19
+ "<|object_ref_end|>": 151647,
20
+ "<|object_ref_start|>": 151646,
21
+ "<|quad_end|>": 151651,
22
+ "<|quad_start|>": 151650,
23
+ "<|repo_name|>": 151663,
24
+ "<|video_pad|>": 151656,
25
+ "<|vision_end|>": 151653,
26
+ "<|vision_pad|>": 151654,
27
+ "<|vision_start|>": 151652
28
+ }
checkpoint-2250/chat_template.jinja ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0].role == 'system' %}
4
+ {{- messages[0].content + '\n\n' }}
5
+ {%- endif %}
6
+ {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
7
+ {%- for tool in tools %}
8
+ {{- "\n" }}
9
+ {{- tool | tojson }}
10
+ {%- endfor %}
11
+ {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
12
+ {%- else %}
13
+ {%- if messages[0].role == 'system' %}
14
+ {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
15
+ {%- endif %}
16
+ {%- endif %}
17
+ {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
18
+ {%- for message in messages[::-1] %}
19
+ {%- set index = (messages|length - 1) - loop.index0 %}
20
+ {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
21
+ {%- set ns.multi_step_tool = false %}
22
+ {%- set ns.last_query_index = index %}
23
+ {%- endif %}
24
+ {%- endfor %}
25
+ {%- for message in messages %}
26
+ {%- if message.content is string %}
27
+ {%- set content = message.content %}
28
+ {%- else %}
29
+ {%- set content = '' %}
30
+ {%- endif %}
31
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
32
+ {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
33
+ {%- elif message.role == "assistant" %}
34
+ {%- set reasoning_content = '' %}
35
+ {%- if message.reasoning_content is string %}
36
+ {%- set reasoning_content = message.reasoning_content %}
37
+ {%- else %}
38
+ {%- if '</think>' in content %}
39
+ {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
40
+ {%- set content = content.split('</think>')[-1].lstrip('\n') %}
41
+ {%- endif %}
42
+ {%- endif %}
43
+ {%- if loop.index0 > ns.last_query_index %}
44
+ {%- if loop.last or (not loop.last and reasoning_content) %}
45
+ {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
46
+ {%- else %}
47
+ {{- '<|im_start|>' + message.role + '\n' + content }}
48
+ {%- endif %}
49
+ {%- else %}
50
+ {{- '<|im_start|>' + message.role + '\n' + content }}
51
+ {%- endif %}
52
+ {%- if message.tool_calls %}
53
+ {%- for tool_call in message.tool_calls %}
54
+ {%- if (loop.first and content) or (not loop.first) %}
55
+ {{- '\n' }}
56
+ {%- endif %}
57
+ {%- if tool_call.function %}
58
+ {%- set tool_call = tool_call.function %}
59
+ {%- endif %}
60
+ {{- '<tool_call>\n{"name": "' }}
61
+ {{- tool_call.name }}
62
+ {{- '", "arguments": ' }}
63
+ {%- if tool_call.arguments is string %}
64
+ {{- tool_call.arguments }}
65
+ {%- else %}
66
+ {{- tool_call.arguments | tojson }}
67
+ {%- endif %}
68
+ {{- '}\n</tool_call>' }}
69
+ {%- endfor %}
70
+ {%- endif %}
71
+ {{- '<|im_end|>\n' }}
72
+ {%- elif message.role == "tool" %}
73
+ {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
74
+ {{- '<|im_start|>user' }}
75
+ {%- endif %}
76
+ {{- '\n<tool_response>\n' }}
77
+ {{- content }}
78
+ {{- '\n</tool_response>' }}
79
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
80
+ {{- '<|im_end|>\n' }}
81
+ {%- endif %}
82
+ {%- endif %}
83
+ {%- endfor %}
84
+ {%- if add_generation_prompt %}
85
+ {{- '<|im_start|>assistant\n' }}
86
+ {%- if enable_thinking is defined and enable_thinking is false %}
87
+ {{- '<think>\n\n</think>\n\n' }}
88
+ {%- endif %}
89
+ {%- endif %}
checkpoint-2250/config.json ADDED
@@ -0,0 +1,69 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3ForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "eos_token_id": 151645,
9
+ "head_dim": 128,
10
+ "hidden_act": "silu",
11
+ "hidden_size": 4096,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 12288,
14
+ "layer_types": [
15
+ "full_attention",
16
+ "full_attention",
17
+ "full_attention",
18
+ "full_attention",
19
+ "full_attention",
20
+ "full_attention",
21
+ "full_attention",
22
+ "full_attention",
23
+ "full_attention",
24
+ "full_attention",
25
+ "full_attention",
26
+ "full_attention",
27
+ "full_attention",
28
+ "full_attention",
29
+ "full_attention",
30
+ "full_attention",
31
+ "full_attention",
32
+ "full_attention",
33
+ "full_attention",
34
+ "full_attention",
35
+ "full_attention",
36
+ "full_attention",
37
+ "full_attention",
38
+ "full_attention",
39
+ "full_attention",
40
+ "full_attention",
41
+ "full_attention",
42
+ "full_attention",
43
+ "full_attention",
44
+ "full_attention",
45
+ "full_attention",
46
+ "full_attention",
47
+ "full_attention",
48
+ "full_attention",
49
+ "full_attention",
50
+ "full_attention"
51
+ ],
52
+ "max_position_embeddings": 40960,
53
+ "max_window_layers": 36,
54
+ "model_type": "qwen3",
55
+ "num_attention_heads": 32,
56
+ "num_hidden_layers": 36,
57
+ "num_key_value_heads": 8,
58
+ "pad_token_id": 151645,
59
+ "rms_norm_eps": 1e-06,
60
+ "rope_scaling": null,
61
+ "rope_theta": 1000000,
62
+ "sliding_window": null,
63
+ "tie_word_embeddings": false,
64
+ "torch_dtype": "bfloat16",
65
+ "transformers_version": "4.53.2",
66
+ "use_cache": true,
67
+ "use_sliding_window": false,
68
+ "vocab_size": 151936
69
+ }
checkpoint-2250/generation_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "temperature": 0.6,
10
+ "top_k": 20,
11
+ "top_p": 0.95,
12
+ "transformers_version": "4.53.2"
13
+ }
checkpoint-2250/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-2250/model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b4b8b7866da7de950d99dfd423a00796a7038af8721ade356571aed89c0fa2c6
3
+ size 4902257696
checkpoint-2250/model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f5fb9fe2da27da92614814390a84eab48c26481fec4977b9fcc3bdc6b42a5202
3
+ size 4915960368
checkpoint-2250/model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1480803c3abbb0ce7494aa49fae089ddce79e24e81a0ce2dd24e3711a3baf4ea
3
+ size 4983068496
checkpoint-2250/model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f679d313f362b678f202bb3fd74c00f11a84e3b37886a5e4aeeb17b5de7fdb45
3
+ size 1580230264
checkpoint-2250/model.safetensors.index.json ADDED
@@ -0,0 +1,407 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_parameters": 8190735360,
4
+ "total_size": 16381470720
5
+ },
6
+ "weight_map": {
7
+ "lm_head.weight": "model-00004-of-00004.safetensors",
8
+ "model.embed_tokens.weight": "model-00001-of-00004.safetensors",
9
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
10
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
11
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
12
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
13
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
14
+ "model.layers.0.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
15
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
16
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
17
+ "model.layers.0.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
18
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
19
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
20
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
21
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
22
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
23
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
24
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
25
+ "model.layers.1.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
26
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
27
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
28
+ "model.layers.1.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
29
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
30
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
31
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
32
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
33
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
34
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
35
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
36
+ "model.layers.10.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
37
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
38
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
39
+ "model.layers.10.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
40
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
41
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
42
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
43
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
44
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
45
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
46
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
47
+ "model.layers.11.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
48
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
49
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
50
+ "model.layers.11.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
51
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
52
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
53
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
54
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
55
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
56
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
57
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
58
+ "model.layers.12.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
59
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
60
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
61
+ "model.layers.12.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
62
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
63
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
64
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
65
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
66
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
67
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
68
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
69
+ "model.layers.13.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
70
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
71
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
72
+ "model.layers.13.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
73
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
74
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
75
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
76
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
77
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
78
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
79
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
80
+ "model.layers.14.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
81
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
82
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
83
+ "model.layers.14.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
84
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
85
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
86
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
87
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
88
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
89
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
90
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
91
+ "model.layers.15.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
92
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
93
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
94
+ "model.layers.15.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
95
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
96
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
97
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
98
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
99
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
100
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
101
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
102
+ "model.layers.16.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
103
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
104
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
105
+ "model.layers.16.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
106
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
107
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
108
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
109
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
110
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
111
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
112
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
113
+ "model.layers.17.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
114
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
115
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
116
+ "model.layers.17.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
117
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
118
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
119
+ "model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
120
+ "model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
121
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
122
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
123
+ "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
124
+ "model.layers.18.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
125
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
126
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
127
+ "model.layers.18.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
128
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
129
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
130
+ "model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
131
+ "model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
132
+ "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
133
+ "model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
134
+ "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
135
+ "model.layers.19.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
136
+ "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
137
+ "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
138
+ "model.layers.19.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
139
+ "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
140
+ "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
141
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
142
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
143
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
144
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
145
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
146
+ "model.layers.2.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
147
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
148
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
149
+ "model.layers.2.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
150
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
151
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
152
+ "model.layers.20.input_layernorm.weight": "model-00002-of-00004.safetensors",
153
+ "model.layers.20.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
154
+ "model.layers.20.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
155
+ "model.layers.20.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
156
+ "model.layers.20.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
157
+ "model.layers.20.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
158
+ "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
159
+ "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
160
+ "model.layers.20.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
161
+ "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
162
+ "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
163
+ "model.layers.21.input_layernorm.weight": "model-00002-of-00004.safetensors",
164
+ "model.layers.21.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
165
+ "model.layers.21.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
166
+ "model.layers.21.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
167
+ "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
168
+ "model.layers.21.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
169
+ "model.layers.21.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
170
+ "model.layers.21.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
171
+ "model.layers.21.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
172
+ "model.layers.21.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
173
+ "model.layers.21.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
174
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
175
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
176
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
177
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
178
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
179
+ "model.layers.22.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
180
+ "model.layers.22.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
181
+ "model.layers.22.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
182
+ "model.layers.22.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
183
+ "model.layers.22.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
184
+ "model.layers.22.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
185
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
186
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
187
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
188
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
189
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
190
+ "model.layers.23.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
191
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
192
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
193
+ "model.layers.23.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
194
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
195
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
196
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
197
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
198
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
199
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
200
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
201
+ "model.layers.24.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
202
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
203
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
204
+ "model.layers.24.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
205
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
206
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
207
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
208
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
209
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
210
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
211
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
212
+ "model.layers.25.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
213
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
214
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
215
+ "model.layers.25.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
216
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
217
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
218
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
219
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
220
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
221
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
222
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
223
+ "model.layers.26.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
224
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
225
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
226
+ "model.layers.26.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
227
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
228
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
229
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
230
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
231
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
232
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
233
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
234
+ "model.layers.27.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
235
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
236
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
237
+ "model.layers.27.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
238
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
239
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
240
+ "model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
241
+ "model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
242
+ "model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
243
+ "model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
244
+ "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
245
+ "model.layers.28.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
246
+ "model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
247
+ "model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
248
+ "model.layers.28.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
249
+ "model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
250
+ "model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
251
+ "model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
252
+ "model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
253
+ "model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
254
+ "model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
255
+ "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
256
+ "model.layers.29.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
257
+ "model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
258
+ "model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
259
+ "model.layers.29.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
260
+ "model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
261
+ "model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
262
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
263
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
264
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
265
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
266
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
267
+ "model.layers.3.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
268
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
269
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
270
+ "model.layers.3.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
271
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
272
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
273
+ "model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
274
+ "model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
275
+ "model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
276
+ "model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
277
+ "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
278
+ "model.layers.30.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
279
+ "model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
280
+ "model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
281
+ "model.layers.30.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
282
+ "model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
283
+ "model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
284
+ "model.layers.31.input_layernorm.weight": "model-00003-of-00004.safetensors",
285
+ "model.layers.31.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
286
+ "model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
287
+ "model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
288
+ "model.layers.31.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
289
+ "model.layers.31.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
290
+ "model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
291
+ "model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
292
+ "model.layers.31.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
293
+ "model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
294
+ "model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
295
+ "model.layers.32.input_layernorm.weight": "model-00003-of-00004.safetensors",
296
+ "model.layers.32.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
297
+ "model.layers.32.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
298
+ "model.layers.32.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
299
+ "model.layers.32.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
300
+ "model.layers.32.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
301
+ "model.layers.32.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
302
+ "model.layers.32.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
303
+ "model.layers.32.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
304
+ "model.layers.32.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
305
+ "model.layers.32.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
306
+ "model.layers.33.input_layernorm.weight": "model-00003-of-00004.safetensors",
307
+ "model.layers.33.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
308
+ "model.layers.33.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
309
+ "model.layers.33.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
310
+ "model.layers.33.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
311
+ "model.layers.33.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
312
+ "model.layers.33.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
313
+ "model.layers.33.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
314
+ "model.layers.33.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
315
+ "model.layers.33.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
316
+ "model.layers.33.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
317
+ "model.layers.34.input_layernorm.weight": "model-00003-of-00004.safetensors",
318
+ "model.layers.34.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
319
+ "model.layers.34.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
320
+ "model.layers.34.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
321
+ "model.layers.34.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
322
+ "model.layers.34.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
323
+ "model.layers.34.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
324
+ "model.layers.34.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
325
+ "model.layers.34.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
326
+ "model.layers.34.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
327
+ "model.layers.34.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
328
+ "model.layers.35.input_layernorm.weight": "model-00004-of-00004.safetensors",
329
+ "model.layers.35.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
330
+ "model.layers.35.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
331
+ "model.layers.35.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
332
+ "model.layers.35.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
333
+ "model.layers.35.self_attn.k_norm.weight": "model-00004-of-00004.safetensors",
334
+ "model.layers.35.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
335
+ "model.layers.35.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
336
+ "model.layers.35.self_attn.q_norm.weight": "model-00004-of-00004.safetensors",
337
+ "model.layers.35.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
338
+ "model.layers.35.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
339
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
340
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
341
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
342
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
343
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
344
+ "model.layers.4.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
345
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
346
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
347
+ "model.layers.4.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
348
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
349
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
350
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
351
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
352
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
353
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
354
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
355
+ "model.layers.5.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
356
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
357
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
358
+ "model.layers.5.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
359
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
360
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
361
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
362
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
363
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
364
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
365
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
366
+ "model.layers.6.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
367
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
368
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
369
+ "model.layers.6.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
370
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
371
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
372
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
373
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
374
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
375
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
376
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
377
+ "model.layers.7.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
378
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
379
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
380
+ "model.layers.7.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
381
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
382
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
383
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00004.safetensors",
384
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
385
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
386
+ "model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
387
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
388
+ "model.layers.8.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
389
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
390
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
391
+ "model.layers.8.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
392
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
393
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
394
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
395
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
396
+ "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
397
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
398
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
399
+ "model.layers.9.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
400
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
401
+ "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
402
+ "model.layers.9.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
403
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
404
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
405
+ "model.norm.weight": "model-00004-of-00004.safetensors"
406
+ }
407
+ }
checkpoint-2250/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:72d01f77f8dfc788dee475cf124e1af15ece4aec98547bd78d2db0cbcbb308d6
3
+ size 20352462887
checkpoint-2250/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:098b29492211804ab324a36f37466821d948280bb74fce4ba895c03f13ecd878
3
+ size 14645
checkpoint-2250/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:446eb5f7182eaf4717bc4d2e82c21fc6c92bb02ef81a7a553010da305007059c
3
+ size 1465
checkpoint-2250/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
checkpoint-2250/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:87f628ab012786f273df0e8d4f24c4142b79cd5c0d105f6a670de0a11feafcb1
3
+ size 11422919
checkpoint-2250/tokenizer_config.json ADDED
@@ -0,0 +1,240 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "151665": {
182
+ "content": "<tool_response>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": false
188
+ },
189
+ "151666": {
190
+ "content": "</tool_response>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": false
196
+ },
197
+ "151667": {
198
+ "content": "<think>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": false
204
+ },
205
+ "151668": {
206
+ "content": "</think>",
207
+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": false
212
+ }
213
+ },
214
+ "additional_special_tokens": [
215
+ "<|im_start|>",
216
+ "<|im_end|>",
217
+ "<|object_ref_start|>",
218
+ "<|object_ref_end|>",
219
+ "<|box_start|>",
220
+ "<|box_end|>",
221
+ "<|quad_start|>",
222
+ "<|quad_end|>",
223
+ "<|vision_start|>",
224
+ "<|vision_end|>",
225
+ "<|vision_pad|>",
226
+ "<|image_pad|>",
227
+ "<|video_pad|>"
228
+ ],
229
+ "bos_token": null,
230
+ "clean_up_tokenization_spaces": false,
231
+ "eos_token": "<|im_end|>",
232
+ "errors": "replace",
233
+ "extra_special_tokens": {},
234
+ "model_max_length": 131072,
235
+ "pad_token": "<|endoftext|>",
236
+ "padding_side": "left",
237
+ "split_special_tokens": false,
238
+ "tokenizer_class": "Qwen2Tokenizer",
239
+ "unk_token": null
240
+ }
checkpoint-2250/trainer_state.json ADDED
@@ -0,0 +1,1609 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.709726443768997,
6
+ "eval_steps": 500,
7
+ "global_step": 2250,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.007598784194528876,
14
+ "grad_norm": 21.75,
15
+ "learning_rate": 9e-06,
16
+ "loss": 3.4313,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.015197568389057751,
21
+ "grad_norm": 81.0,
22
+ "learning_rate": 1.9e-05,
23
+ "loss": 2.2326,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.022796352583586626,
28
+ "grad_norm": 85.5,
29
+ "learning_rate": 2.9e-05,
30
+ "loss": 1.4425,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.030395136778115502,
35
+ "grad_norm": 2.609375,
36
+ "learning_rate": 3.9000000000000006e-05,
37
+ "loss": 0.9761,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.037993920972644375,
42
+ "grad_norm": 2.890625,
43
+ "learning_rate": 4.9e-05,
44
+ "loss": 0.8592,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.04559270516717325,
49
+ "grad_norm": 2.640625,
50
+ "learning_rate": 5.9e-05,
51
+ "loss": 0.8049,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.05319148936170213,
56
+ "grad_norm": 2.9375,
57
+ "learning_rate": 6.9e-05,
58
+ "loss": 0.9155,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.060790273556231005,
63
+ "grad_norm": 1.9453125,
64
+ "learning_rate": 7.900000000000001e-05,
65
+ "loss": 0.8197,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.06838905775075987,
70
+ "grad_norm": 2.0,
71
+ "learning_rate": 8.900000000000001e-05,
72
+ "loss": 0.7834,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.07598784194528875,
77
+ "grad_norm": 2.203125,
78
+ "learning_rate": 9.900000000000001e-05,
79
+ "loss": 0.8179,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.08358662613981763,
84
+ "grad_norm": 1.984375,
85
+ "learning_rate": 9.958139534883721e-05,
86
+ "loss": 0.7661,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.0911854103343465,
91
+ "grad_norm": 1.9140625,
92
+ "learning_rate": 9.911627906976745e-05,
93
+ "loss": 0.8447,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.09878419452887538,
98
+ "grad_norm": 1.6484375,
99
+ "learning_rate": 9.865116279069768e-05,
100
+ "loss": 0.8758,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.10638297872340426,
105
+ "grad_norm": 2.171875,
106
+ "learning_rate": 9.818604651162792e-05,
107
+ "loss": 0.752,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.11398176291793313,
112
+ "grad_norm": 1.671875,
113
+ "learning_rate": 9.772093023255814e-05,
114
+ "loss": 0.788,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.12158054711246201,
119
+ "grad_norm": 1.390625,
120
+ "learning_rate": 9.725581395348837e-05,
121
+ "loss": 0.7352,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.12917933130699089,
126
+ "grad_norm": 1.5546875,
127
+ "learning_rate": 9.67906976744186e-05,
128
+ "loss": 0.7905,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.13677811550151975,
133
+ "grad_norm": 1.6953125,
134
+ "learning_rate": 9.632558139534884e-05,
135
+ "loss": 0.7821,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.14437689969604864,
140
+ "grad_norm": 1.359375,
141
+ "learning_rate": 9.586046511627908e-05,
142
+ "loss": 0.6274,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.1519756838905775,
147
+ "grad_norm": 1.6875,
148
+ "learning_rate": 9.539534883720931e-05,
149
+ "loss": 0.7823,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.1595744680851064,
154
+ "grad_norm": 1.75,
155
+ "learning_rate": 9.493023255813955e-05,
156
+ "loss": 0.725,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.16717325227963525,
161
+ "grad_norm": 1.3828125,
162
+ "learning_rate": 9.446511627906977e-05,
163
+ "loss": 0.7733,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.17477203647416414,
168
+ "grad_norm": 1.5390625,
169
+ "learning_rate": 9.4e-05,
170
+ "loss": 0.7945,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.182370820668693,
175
+ "grad_norm": 1.5625,
176
+ "learning_rate": 9.353488372093023e-05,
177
+ "loss": 0.7283,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.1899696048632219,
182
+ "grad_norm": 1.578125,
183
+ "learning_rate": 9.306976744186047e-05,
184
+ "loss": 0.6244,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.19756838905775076,
189
+ "grad_norm": 1.546875,
190
+ "learning_rate": 9.26046511627907e-05,
191
+ "loss": 0.6776,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.20516717325227962,
196
+ "grad_norm": 1.234375,
197
+ "learning_rate": 9.213953488372094e-05,
198
+ "loss": 0.6386,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.2127659574468085,
203
+ "grad_norm": 1.53125,
204
+ "learning_rate": 9.167441860465116e-05,
205
+ "loss": 0.6425,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.22036474164133737,
210
+ "grad_norm": 1.453125,
211
+ "learning_rate": 9.12093023255814e-05,
212
+ "loss": 0.5976,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.22796352583586627,
217
+ "grad_norm": 1.40625,
218
+ "learning_rate": 9.074418604651164e-05,
219
+ "loss": 0.6518,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.23556231003039513,
224
+ "grad_norm": 1.71875,
225
+ "learning_rate": 9.027906976744186e-05,
226
+ "loss": 0.6024,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.24316109422492402,
231
+ "grad_norm": 1.3515625,
232
+ "learning_rate": 8.98139534883721e-05,
233
+ "loss": 0.6896,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.2507598784194529,
238
+ "grad_norm": 1.59375,
239
+ "learning_rate": 8.934883720930233e-05,
240
+ "loss": 0.5574,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.25835866261398177,
245
+ "grad_norm": 1.0625,
246
+ "learning_rate": 8.888372093023257e-05,
247
+ "loss": 0.5795,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.26595744680851063,
252
+ "grad_norm": 1.109375,
253
+ "learning_rate": 8.841860465116279e-05,
254
+ "loss": 0.6064,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.2735562310030395,
259
+ "grad_norm": 1.015625,
260
+ "learning_rate": 8.795348837209303e-05,
261
+ "loss": 0.527,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.2811550151975684,
266
+ "grad_norm": 0.92578125,
267
+ "learning_rate": 8.748837209302326e-05,
268
+ "loss": 0.5996,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.2887537993920973,
273
+ "grad_norm": 1.375,
274
+ "learning_rate": 8.70232558139535e-05,
275
+ "loss": 0.5588,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.29635258358662614,
280
+ "grad_norm": 1.546875,
281
+ "learning_rate": 8.655813953488372e-05,
282
+ "loss": 0.5675,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.303951367781155,
287
+ "grad_norm": 1.28125,
288
+ "learning_rate": 8.609302325581396e-05,
289
+ "loss": 0.5708,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 0.31155015197568386,
294
+ "grad_norm": 1.265625,
295
+ "learning_rate": 8.562790697674418e-05,
296
+ "loss": 0.593,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 0.3191489361702128,
301
+ "grad_norm": 1.3125,
302
+ "learning_rate": 8.516279069767442e-05,
303
+ "loss": 0.5349,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 0.32674772036474165,
308
+ "grad_norm": 1.46875,
309
+ "learning_rate": 8.469767441860465e-05,
310
+ "loss": 0.4981,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 0.3343465045592705,
315
+ "grad_norm": 1.3046875,
316
+ "learning_rate": 8.423255813953489e-05,
317
+ "loss": 0.5477,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 0.34194528875379937,
322
+ "grad_norm": 1.109375,
323
+ "learning_rate": 8.376744186046513e-05,
324
+ "loss": 0.5359,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 0.3495440729483283,
329
+ "grad_norm": 1.15625,
330
+ "learning_rate": 8.330232558139536e-05,
331
+ "loss": 0.5612,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 0.35714285714285715,
336
+ "grad_norm": 1.1796875,
337
+ "learning_rate": 8.283720930232559e-05,
338
+ "loss": 0.5386,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 0.364741641337386,
343
+ "grad_norm": 1.0625,
344
+ "learning_rate": 8.237209302325581e-05,
345
+ "loss": 0.4443,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 0.3723404255319149,
350
+ "grad_norm": 1.0703125,
351
+ "learning_rate": 8.190697674418605e-05,
352
+ "loss": 0.5386,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 0.3799392097264438,
357
+ "grad_norm": 1.140625,
358
+ "learning_rate": 8.144186046511628e-05,
359
+ "loss": 0.4538,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 0.38753799392097266,
364
+ "grad_norm": 1.390625,
365
+ "learning_rate": 8.097674418604652e-05,
366
+ "loss": 0.4705,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 0.3951367781155015,
371
+ "grad_norm": 1.15625,
372
+ "learning_rate": 8.051162790697675e-05,
373
+ "loss": 0.5122,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 0.4027355623100304,
378
+ "grad_norm": 1.2578125,
379
+ "learning_rate": 8.004651162790698e-05,
380
+ "loss": 0.4675,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 0.41033434650455924,
385
+ "grad_norm": 1.3046875,
386
+ "learning_rate": 7.958139534883721e-05,
387
+ "loss": 0.5141,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 0.41793313069908816,
392
+ "grad_norm": 1.0625,
393
+ "learning_rate": 7.911627906976744e-05,
394
+ "loss": 0.492,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 0.425531914893617,
399
+ "grad_norm": 1.21875,
400
+ "learning_rate": 7.865116279069767e-05,
401
+ "loss": 0.4708,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 0.4331306990881459,
406
+ "grad_norm": 1.296875,
407
+ "learning_rate": 7.818604651162791e-05,
408
+ "loss": 0.4668,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 0.44072948328267475,
413
+ "grad_norm": 1.2109375,
414
+ "learning_rate": 7.772093023255815e-05,
415
+ "loss": 0.4105,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 0.44832826747720367,
420
+ "grad_norm": 1.0859375,
421
+ "learning_rate": 7.725581395348838e-05,
422
+ "loss": 0.4586,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 0.45592705167173253,
427
+ "grad_norm": 1.2890625,
428
+ "learning_rate": 7.67906976744186e-05,
429
+ "loss": 0.4625,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 0.4635258358662614,
434
+ "grad_norm": 0.83984375,
435
+ "learning_rate": 7.632558139534884e-05,
436
+ "loss": 0.4149,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 0.47112462006079026,
441
+ "grad_norm": 0.97265625,
442
+ "learning_rate": 7.586046511627908e-05,
443
+ "loss": 0.4588,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 0.4787234042553192,
448
+ "grad_norm": 1.21875,
449
+ "learning_rate": 7.53953488372093e-05,
450
+ "loss": 0.4162,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 0.48632218844984804,
455
+ "grad_norm": 0.9296875,
456
+ "learning_rate": 7.493023255813954e-05,
457
+ "loss": 0.3976,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 0.4939209726443769,
462
+ "grad_norm": 1.3046875,
463
+ "learning_rate": 7.446511627906977e-05,
464
+ "loss": 0.4161,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 0.5015197568389058,
469
+ "grad_norm": 1.1640625,
470
+ "learning_rate": 7.4e-05,
471
+ "loss": 0.3689,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 0.5091185410334347,
476
+ "grad_norm": 0.8828125,
477
+ "learning_rate": 7.353488372093023e-05,
478
+ "loss": 0.427,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 0.5167173252279635,
483
+ "grad_norm": 0.9921875,
484
+ "learning_rate": 7.306976744186047e-05,
485
+ "loss": 0.3842,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 0.5243161094224924,
490
+ "grad_norm": 0.96484375,
491
+ "learning_rate": 7.26046511627907e-05,
492
+ "loss": 0.3853,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 0.5319148936170213,
497
+ "grad_norm": 1.0546875,
498
+ "learning_rate": 7.213953488372094e-05,
499
+ "loss": 0.3235,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 0.5395136778115501,
504
+ "grad_norm": 1.0546875,
505
+ "learning_rate": 7.167441860465116e-05,
506
+ "loss": 0.3763,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 0.547112462006079,
511
+ "grad_norm": 0.86328125,
512
+ "learning_rate": 7.12093023255814e-05,
513
+ "loss": 0.3651,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 0.5547112462006079,
518
+ "grad_norm": 0.97265625,
519
+ "learning_rate": 7.074418604651162e-05,
520
+ "loss": 0.3187,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 0.5623100303951368,
525
+ "grad_norm": 1.0859375,
526
+ "learning_rate": 7.027906976744186e-05,
527
+ "loss": 0.3752,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 0.5699088145896657,
532
+ "grad_norm": 1.1328125,
533
+ "learning_rate": 6.98139534883721e-05,
534
+ "loss": 0.3639,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 0.5775075987841946,
539
+ "grad_norm": 0.9609375,
540
+ "learning_rate": 6.934883720930233e-05,
541
+ "loss": 0.3682,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 0.5851063829787234,
546
+ "grad_norm": 0.7109375,
547
+ "learning_rate": 6.888372093023257e-05,
548
+ "loss": 0.3418,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 0.5927051671732523,
553
+ "grad_norm": 0.96875,
554
+ "learning_rate": 6.841860465116279e-05,
555
+ "loss": 0.3567,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 0.6003039513677811,
560
+ "grad_norm": 0.9375,
561
+ "learning_rate": 6.795348837209301e-05,
562
+ "loss": 0.371,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 0.60790273556231,
567
+ "grad_norm": 1.15625,
568
+ "learning_rate": 6.748837209302325e-05,
569
+ "loss": 0.334,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 0.6155015197568389,
574
+ "grad_norm": 0.921875,
575
+ "learning_rate": 6.702325581395349e-05,
576
+ "loss": 0.3043,
577
+ "step": 810
578
+ },
579
+ {
580
+ "epoch": 0.6231003039513677,
581
+ "grad_norm": 1.0390625,
582
+ "learning_rate": 6.655813953488372e-05,
583
+ "loss": 0.3049,
584
+ "step": 820
585
+ },
586
+ {
587
+ "epoch": 0.6306990881458967,
588
+ "grad_norm": 0.9453125,
589
+ "learning_rate": 6.609302325581396e-05,
590
+ "loss": 0.2673,
591
+ "step": 830
592
+ },
593
+ {
594
+ "epoch": 0.6382978723404256,
595
+ "grad_norm": 1.03125,
596
+ "learning_rate": 6.56279069767442e-05,
597
+ "loss": 0.3203,
598
+ "step": 840
599
+ },
600
+ {
601
+ "epoch": 0.6458966565349544,
602
+ "grad_norm": 1.078125,
603
+ "learning_rate": 6.516279069767442e-05,
604
+ "loss": 0.3552,
605
+ "step": 850
606
+ },
607
+ {
608
+ "epoch": 0.6534954407294833,
609
+ "grad_norm": 0.62890625,
610
+ "learning_rate": 6.469767441860466e-05,
611
+ "loss": 0.2805,
612
+ "step": 860
613
+ },
614
+ {
615
+ "epoch": 0.6610942249240122,
616
+ "grad_norm": 1.0703125,
617
+ "learning_rate": 6.423255813953488e-05,
618
+ "loss": 0.3399,
619
+ "step": 870
620
+ },
621
+ {
622
+ "epoch": 0.668693009118541,
623
+ "grad_norm": 0.96875,
624
+ "learning_rate": 6.376744186046512e-05,
625
+ "loss": 0.2798,
626
+ "step": 880
627
+ },
628
+ {
629
+ "epoch": 0.6762917933130699,
630
+ "grad_norm": 1.0234375,
631
+ "learning_rate": 6.330232558139535e-05,
632
+ "loss": 0.3096,
633
+ "step": 890
634
+ },
635
+ {
636
+ "epoch": 0.6838905775075987,
637
+ "grad_norm": 0.8984375,
638
+ "learning_rate": 6.283720930232559e-05,
639
+ "loss": 0.3162,
640
+ "step": 900
641
+ },
642
+ {
643
+ "epoch": 0.6914893617021277,
644
+ "grad_norm": 1.03125,
645
+ "learning_rate": 6.237209302325581e-05,
646
+ "loss": 0.2926,
647
+ "step": 910
648
+ },
649
+ {
650
+ "epoch": 0.6990881458966566,
651
+ "grad_norm": 1.0703125,
652
+ "learning_rate": 6.190697674418605e-05,
653
+ "loss": 0.3684,
654
+ "step": 920
655
+ },
656
+ {
657
+ "epoch": 0.7066869300911854,
658
+ "grad_norm": 0.96875,
659
+ "learning_rate": 6.144186046511628e-05,
660
+ "loss": 0.3586,
661
+ "step": 930
662
+ },
663
+ {
664
+ "epoch": 0.7142857142857143,
665
+ "grad_norm": 1.03125,
666
+ "learning_rate": 6.097674418604652e-05,
667
+ "loss": 0.3382,
668
+ "step": 940
669
+ },
670
+ {
671
+ "epoch": 0.7218844984802432,
672
+ "grad_norm": 1.234375,
673
+ "learning_rate": 6.051162790697674e-05,
674
+ "loss": 0.3272,
675
+ "step": 950
676
+ },
677
+ {
678
+ "epoch": 0.729483282674772,
679
+ "grad_norm": 1.015625,
680
+ "learning_rate": 6.004651162790698e-05,
681
+ "loss": 0.2808,
682
+ "step": 960
683
+ },
684
+ {
685
+ "epoch": 0.7370820668693009,
686
+ "grad_norm": 1.1796875,
687
+ "learning_rate": 5.958139534883721e-05,
688
+ "loss": 0.2965,
689
+ "step": 970
690
+ },
691
+ {
692
+ "epoch": 0.7446808510638298,
693
+ "grad_norm": 0.90234375,
694
+ "learning_rate": 5.9116279069767445e-05,
695
+ "loss": 0.2778,
696
+ "step": 980
697
+ },
698
+ {
699
+ "epoch": 0.7522796352583586,
700
+ "grad_norm": 1.1015625,
701
+ "learning_rate": 5.8651162790697675e-05,
702
+ "loss": 0.3103,
703
+ "step": 990
704
+ },
705
+ {
706
+ "epoch": 0.7598784194528876,
707
+ "grad_norm": 1.125,
708
+ "learning_rate": 5.818604651162791e-05,
709
+ "loss": 0.2904,
710
+ "step": 1000
711
+ },
712
+ {
713
+ "epoch": 0.7674772036474165,
714
+ "grad_norm": 0.76171875,
715
+ "learning_rate": 5.772093023255815e-05,
716
+ "loss": 0.3073,
717
+ "step": 1010
718
+ },
719
+ {
720
+ "epoch": 0.7750759878419453,
721
+ "grad_norm": 0.99609375,
722
+ "learning_rate": 5.725581395348838e-05,
723
+ "loss": 0.3001,
724
+ "step": 1020
725
+ },
726
+ {
727
+ "epoch": 0.7826747720364742,
728
+ "grad_norm": 1.0703125,
729
+ "learning_rate": 5.67906976744186e-05,
730
+ "loss": 0.2669,
731
+ "step": 1030
732
+ },
733
+ {
734
+ "epoch": 0.790273556231003,
735
+ "grad_norm": 0.85546875,
736
+ "learning_rate": 5.6325581395348836e-05,
737
+ "loss": 0.2502,
738
+ "step": 1040
739
+ },
740
+ {
741
+ "epoch": 0.7978723404255319,
742
+ "grad_norm": 0.91015625,
743
+ "learning_rate": 5.586046511627907e-05,
744
+ "loss": 0.306,
745
+ "step": 1050
746
+ },
747
+ {
748
+ "epoch": 0.8054711246200608,
749
+ "grad_norm": 1.0,
750
+ "learning_rate": 5.53953488372093e-05,
751
+ "loss": 0.2415,
752
+ "step": 1060
753
+ },
754
+ {
755
+ "epoch": 0.8130699088145896,
756
+ "grad_norm": 1.09375,
757
+ "learning_rate": 5.493023255813954e-05,
758
+ "loss": 0.2257,
759
+ "step": 1070
760
+ },
761
+ {
762
+ "epoch": 0.8206686930091185,
763
+ "grad_norm": 0.84765625,
764
+ "learning_rate": 5.4465116279069775e-05,
765
+ "loss": 0.2491,
766
+ "step": 1080
767
+ },
768
+ {
769
+ "epoch": 0.8282674772036475,
770
+ "grad_norm": 1.375,
771
+ "learning_rate": 5.4000000000000005e-05,
772
+ "loss": 0.2659,
773
+ "step": 1090
774
+ },
775
+ {
776
+ "epoch": 0.8358662613981763,
777
+ "grad_norm": 0.953125,
778
+ "learning_rate": 5.353488372093024e-05,
779
+ "loss": 0.2436,
780
+ "step": 1100
781
+ },
782
+ {
783
+ "epoch": 0.8434650455927052,
784
+ "grad_norm": 0.91015625,
785
+ "learning_rate": 5.3069767441860464e-05,
786
+ "loss": 0.2539,
787
+ "step": 1110
788
+ },
789
+ {
790
+ "epoch": 0.851063829787234,
791
+ "grad_norm": 0.7265625,
792
+ "learning_rate": 5.2604651162790694e-05,
793
+ "loss": 0.2449,
794
+ "step": 1120
795
+ },
796
+ {
797
+ "epoch": 0.8586626139817629,
798
+ "grad_norm": 1.03125,
799
+ "learning_rate": 5.213953488372093e-05,
800
+ "loss": 0.2424,
801
+ "step": 1130
802
+ },
803
+ {
804
+ "epoch": 0.8662613981762918,
805
+ "grad_norm": 0.82421875,
806
+ "learning_rate": 5.1674418604651166e-05,
807
+ "loss": 0.2565,
808
+ "step": 1140
809
+ },
810
+ {
811
+ "epoch": 0.8738601823708206,
812
+ "grad_norm": 1.0859375,
813
+ "learning_rate": 5.1209302325581396e-05,
814
+ "loss": 0.242,
815
+ "step": 1150
816
+ },
817
+ {
818
+ "epoch": 0.8814589665653495,
819
+ "grad_norm": 0.97265625,
820
+ "learning_rate": 5.074418604651163e-05,
821
+ "loss": 0.2415,
822
+ "step": 1160
823
+ },
824
+ {
825
+ "epoch": 0.8890577507598785,
826
+ "grad_norm": 1.2578125,
827
+ "learning_rate": 5.027906976744187e-05,
828
+ "loss": 0.2519,
829
+ "step": 1170
830
+ },
831
+ {
832
+ "epoch": 0.8966565349544073,
833
+ "grad_norm": 0.8515625,
834
+ "learning_rate": 4.981395348837209e-05,
835
+ "loss": 0.2545,
836
+ "step": 1180
837
+ },
838
+ {
839
+ "epoch": 0.9042553191489362,
840
+ "grad_norm": 0.69921875,
841
+ "learning_rate": 4.934883720930233e-05,
842
+ "loss": 0.2403,
843
+ "step": 1190
844
+ },
845
+ {
846
+ "epoch": 0.9118541033434651,
847
+ "grad_norm": 0.73046875,
848
+ "learning_rate": 4.8883720930232564e-05,
849
+ "loss": 0.2075,
850
+ "step": 1200
851
+ },
852
+ {
853
+ "epoch": 0.9194528875379939,
854
+ "grad_norm": 0.6875,
855
+ "learning_rate": 4.8418604651162794e-05,
856
+ "loss": 0.198,
857
+ "step": 1210
858
+ },
859
+ {
860
+ "epoch": 0.9270516717325228,
861
+ "grad_norm": 0.88671875,
862
+ "learning_rate": 4.7953488372093023e-05,
863
+ "loss": 0.216,
864
+ "step": 1220
865
+ },
866
+ {
867
+ "epoch": 0.9346504559270516,
868
+ "grad_norm": 0.66015625,
869
+ "learning_rate": 4.748837209302326e-05,
870
+ "loss": 0.1838,
871
+ "step": 1230
872
+ },
873
+ {
874
+ "epoch": 0.9422492401215805,
875
+ "grad_norm": 0.578125,
876
+ "learning_rate": 4.7023255813953496e-05,
877
+ "loss": 0.2367,
878
+ "step": 1240
879
+ },
880
+ {
881
+ "epoch": 0.9498480243161094,
882
+ "grad_norm": 1.1015625,
883
+ "learning_rate": 4.655813953488372e-05,
884
+ "loss": 0.1958,
885
+ "step": 1250
886
+ },
887
+ {
888
+ "epoch": 0.9574468085106383,
889
+ "grad_norm": 0.94921875,
890
+ "learning_rate": 4.6093023255813955e-05,
891
+ "loss": 0.1862,
892
+ "step": 1260
893
+ },
894
+ {
895
+ "epoch": 0.9650455927051672,
896
+ "grad_norm": 0.91015625,
897
+ "learning_rate": 4.562790697674419e-05,
898
+ "loss": 0.2328,
899
+ "step": 1270
900
+ },
901
+ {
902
+ "epoch": 0.9726443768996961,
903
+ "grad_norm": 0.85546875,
904
+ "learning_rate": 4.516279069767442e-05,
905
+ "loss": 0.2483,
906
+ "step": 1280
907
+ },
908
+ {
909
+ "epoch": 0.9802431610942249,
910
+ "grad_norm": 0.9453125,
911
+ "learning_rate": 4.469767441860465e-05,
912
+ "loss": 0.1677,
913
+ "step": 1290
914
+ },
915
+ {
916
+ "epoch": 0.9878419452887538,
917
+ "grad_norm": 0.9375,
918
+ "learning_rate": 4.423255813953489e-05,
919
+ "loss": 0.2192,
920
+ "step": 1300
921
+ },
922
+ {
923
+ "epoch": 0.9954407294832827,
924
+ "grad_norm": 0.859375,
925
+ "learning_rate": 4.376744186046512e-05,
926
+ "loss": 0.2357,
927
+ "step": 1310
928
+ },
929
+ {
930
+ "epoch": 1.0030395136778116,
931
+ "grad_norm": 0.59375,
932
+ "learning_rate": 4.3302325581395353e-05,
933
+ "loss": 0.1562,
934
+ "step": 1320
935
+ },
936
+ {
937
+ "epoch": 1.0106382978723405,
938
+ "grad_norm": 0.73828125,
939
+ "learning_rate": 4.283720930232558e-05,
940
+ "loss": 0.1043,
941
+ "step": 1330
942
+ },
943
+ {
944
+ "epoch": 1.0182370820668694,
945
+ "grad_norm": 0.75390625,
946
+ "learning_rate": 4.237209302325581e-05,
947
+ "loss": 0.106,
948
+ "step": 1340
949
+ },
950
+ {
951
+ "epoch": 1.0258358662613982,
952
+ "grad_norm": 0.859375,
953
+ "learning_rate": 4.190697674418605e-05,
954
+ "loss": 0.1041,
955
+ "step": 1350
956
+ },
957
+ {
958
+ "epoch": 1.033434650455927,
959
+ "grad_norm": 0.98046875,
960
+ "learning_rate": 4.1441860465116285e-05,
961
+ "loss": 0.1001,
962
+ "step": 1360
963
+ },
964
+ {
965
+ "epoch": 1.041033434650456,
966
+ "grad_norm": 0.65625,
967
+ "learning_rate": 4.0976744186046515e-05,
968
+ "loss": 0.0867,
969
+ "step": 1370
970
+ },
971
+ {
972
+ "epoch": 1.0486322188449848,
973
+ "grad_norm": 0.78515625,
974
+ "learning_rate": 4.0511627906976745e-05,
975
+ "loss": 0.1042,
976
+ "step": 1380
977
+ },
978
+ {
979
+ "epoch": 1.0562310030395137,
980
+ "grad_norm": 0.87109375,
981
+ "learning_rate": 4.004651162790698e-05,
982
+ "loss": 0.1049,
983
+ "step": 1390
984
+ },
985
+ {
986
+ "epoch": 1.0638297872340425,
987
+ "grad_norm": 0.578125,
988
+ "learning_rate": 3.958139534883721e-05,
989
+ "loss": 0.0948,
990
+ "step": 1400
991
+ },
992
+ {
993
+ "epoch": 1.0714285714285714,
994
+ "grad_norm": 0.9140625,
995
+ "learning_rate": 3.911627906976744e-05,
996
+ "loss": 0.0974,
997
+ "step": 1410
998
+ },
999
+ {
1000
+ "epoch": 1.0790273556231003,
1001
+ "grad_norm": 0.703125,
1002
+ "learning_rate": 3.8651162790697677e-05,
1003
+ "loss": 0.1062,
1004
+ "step": 1420
1005
+ },
1006
+ {
1007
+ "epoch": 1.0866261398176291,
1008
+ "grad_norm": 0.8671875,
1009
+ "learning_rate": 3.818604651162791e-05,
1010
+ "loss": 0.0995,
1011
+ "step": 1430
1012
+ },
1013
+ {
1014
+ "epoch": 1.094224924012158,
1015
+ "grad_norm": 1.0078125,
1016
+ "learning_rate": 3.772093023255814e-05,
1017
+ "loss": 0.1188,
1018
+ "step": 1440
1019
+ },
1020
+ {
1021
+ "epoch": 1.1018237082066868,
1022
+ "grad_norm": 0.70703125,
1023
+ "learning_rate": 3.725581395348837e-05,
1024
+ "loss": 0.0929,
1025
+ "step": 1450
1026
+ },
1027
+ {
1028
+ "epoch": 1.1094224924012157,
1029
+ "grad_norm": 0.77734375,
1030
+ "learning_rate": 3.679069767441861e-05,
1031
+ "loss": 0.098,
1032
+ "step": 1460
1033
+ },
1034
+ {
1035
+ "epoch": 1.1170212765957448,
1036
+ "grad_norm": 0.6875,
1037
+ "learning_rate": 3.632558139534884e-05,
1038
+ "loss": 0.0958,
1039
+ "step": 1470
1040
+ },
1041
+ {
1042
+ "epoch": 1.1246200607902737,
1043
+ "grad_norm": 0.953125,
1044
+ "learning_rate": 3.5860465116279075e-05,
1045
+ "loss": 0.1008,
1046
+ "step": 1480
1047
+ },
1048
+ {
1049
+ "epoch": 1.1322188449848025,
1050
+ "grad_norm": 0.8984375,
1051
+ "learning_rate": 3.5395348837209304e-05,
1052
+ "loss": 0.1111,
1053
+ "step": 1490
1054
+ },
1055
+ {
1056
+ "epoch": 1.1398176291793314,
1057
+ "grad_norm": 0.68359375,
1058
+ "learning_rate": 3.4930232558139534e-05,
1059
+ "loss": 0.0917,
1060
+ "step": 1500
1061
+ },
1062
+ {
1063
+ "epoch": 1.1474164133738602,
1064
+ "grad_norm": 0.48828125,
1065
+ "learning_rate": 3.446511627906977e-05,
1066
+ "loss": 0.0912,
1067
+ "step": 1510
1068
+ },
1069
+ {
1070
+ "epoch": 1.155015197568389,
1071
+ "grad_norm": 0.94140625,
1072
+ "learning_rate": 3.4000000000000007e-05,
1073
+ "loss": 0.0948,
1074
+ "step": 1520
1075
+ },
1076
+ {
1077
+ "epoch": 1.162613981762918,
1078
+ "grad_norm": 0.83203125,
1079
+ "learning_rate": 3.353488372093023e-05,
1080
+ "loss": 0.0749,
1081
+ "step": 1530
1082
+ },
1083
+ {
1084
+ "epoch": 1.1702127659574468,
1085
+ "grad_norm": 0.953125,
1086
+ "learning_rate": 3.3069767441860466e-05,
1087
+ "loss": 0.1059,
1088
+ "step": 1540
1089
+ },
1090
+ {
1091
+ "epoch": 1.1778115501519757,
1092
+ "grad_norm": 0.6171875,
1093
+ "learning_rate": 3.26046511627907e-05,
1094
+ "loss": 0.0942,
1095
+ "step": 1550
1096
+ },
1097
+ {
1098
+ "epoch": 1.1854103343465046,
1099
+ "grad_norm": 0.48046875,
1100
+ "learning_rate": 3.213953488372093e-05,
1101
+ "loss": 0.0739,
1102
+ "step": 1560
1103
+ },
1104
+ {
1105
+ "epoch": 1.1930091185410334,
1106
+ "grad_norm": 1.078125,
1107
+ "learning_rate": 3.167441860465116e-05,
1108
+ "loss": 0.0931,
1109
+ "step": 1570
1110
+ },
1111
+ {
1112
+ "epoch": 1.2006079027355623,
1113
+ "grad_norm": 0.7265625,
1114
+ "learning_rate": 3.12093023255814e-05,
1115
+ "loss": 0.0955,
1116
+ "step": 1580
1117
+ },
1118
+ {
1119
+ "epoch": 1.2082066869300911,
1120
+ "grad_norm": 1.109375,
1121
+ "learning_rate": 3.074418604651163e-05,
1122
+ "loss": 0.0842,
1123
+ "step": 1590
1124
+ },
1125
+ {
1126
+ "epoch": 1.21580547112462,
1127
+ "grad_norm": 0.83203125,
1128
+ "learning_rate": 3.0279069767441864e-05,
1129
+ "loss": 0.0871,
1130
+ "step": 1600
1131
+ },
1132
+ {
1133
+ "epoch": 1.2234042553191489,
1134
+ "grad_norm": 1.171875,
1135
+ "learning_rate": 2.9813953488372093e-05,
1136
+ "loss": 0.0972,
1137
+ "step": 1610
1138
+ },
1139
+ {
1140
+ "epoch": 1.2310030395136777,
1141
+ "grad_norm": 0.5859375,
1142
+ "learning_rate": 2.9348837209302326e-05,
1143
+ "loss": 0.0752,
1144
+ "step": 1620
1145
+ },
1146
+ {
1147
+ "epoch": 1.2386018237082066,
1148
+ "grad_norm": 1.046875,
1149
+ "learning_rate": 2.888372093023256e-05,
1150
+ "loss": 0.0881,
1151
+ "step": 1630
1152
+ },
1153
+ {
1154
+ "epoch": 1.2462006079027357,
1155
+ "grad_norm": 0.5390625,
1156
+ "learning_rate": 2.8418604651162796e-05,
1157
+ "loss": 0.063,
1158
+ "step": 1640
1159
+ },
1160
+ {
1161
+ "epoch": 1.2537993920972643,
1162
+ "grad_norm": 0.7265625,
1163
+ "learning_rate": 2.7953488372093022e-05,
1164
+ "loss": 0.0964,
1165
+ "step": 1650
1166
+ },
1167
+ {
1168
+ "epoch": 1.2613981762917934,
1169
+ "grad_norm": 1.0234375,
1170
+ "learning_rate": 2.7488372093023258e-05,
1171
+ "loss": 0.0963,
1172
+ "step": 1660
1173
+ },
1174
+ {
1175
+ "epoch": 1.2689969604863223,
1176
+ "grad_norm": 0.8125,
1177
+ "learning_rate": 2.702325581395349e-05,
1178
+ "loss": 0.0675,
1179
+ "step": 1670
1180
+ },
1181
+ {
1182
+ "epoch": 1.2765957446808511,
1183
+ "grad_norm": 0.86328125,
1184
+ "learning_rate": 2.6558139534883724e-05,
1185
+ "loss": 0.0826,
1186
+ "step": 1680
1187
+ },
1188
+ {
1189
+ "epoch": 1.28419452887538,
1190
+ "grad_norm": 0.3359375,
1191
+ "learning_rate": 2.6093023255813954e-05,
1192
+ "loss": 0.0659,
1193
+ "step": 1690
1194
+ },
1195
+ {
1196
+ "epoch": 1.2917933130699089,
1197
+ "grad_norm": 0.494140625,
1198
+ "learning_rate": 2.5627906976744187e-05,
1199
+ "loss": 0.0869,
1200
+ "step": 1700
1201
+ },
1202
+ {
1203
+ "epoch": 1.2993920972644377,
1204
+ "grad_norm": 0.34375,
1205
+ "learning_rate": 2.516279069767442e-05,
1206
+ "loss": 0.0793,
1207
+ "step": 1710
1208
+ },
1209
+ {
1210
+ "epoch": 1.3069908814589666,
1211
+ "grad_norm": 0.9375,
1212
+ "learning_rate": 2.4697674418604653e-05,
1213
+ "loss": 0.0979,
1214
+ "step": 1720
1215
+ },
1216
+ {
1217
+ "epoch": 1.3145896656534954,
1218
+ "grad_norm": 0.65234375,
1219
+ "learning_rate": 2.4232558139534886e-05,
1220
+ "loss": 0.0848,
1221
+ "step": 1730
1222
+ },
1223
+ {
1224
+ "epoch": 1.3221884498480243,
1225
+ "grad_norm": 0.76171875,
1226
+ "learning_rate": 2.376744186046512e-05,
1227
+ "loss": 0.0944,
1228
+ "step": 1740
1229
+ },
1230
+ {
1231
+ "epoch": 1.3297872340425532,
1232
+ "grad_norm": 0.74609375,
1233
+ "learning_rate": 2.3302325581395352e-05,
1234
+ "loss": 0.0668,
1235
+ "step": 1750
1236
+ },
1237
+ {
1238
+ "epoch": 1.337386018237082,
1239
+ "grad_norm": 0.6328125,
1240
+ "learning_rate": 2.283720930232558e-05,
1241
+ "loss": 0.0787,
1242
+ "step": 1760
1243
+ },
1244
+ {
1245
+ "epoch": 1.344984802431611,
1246
+ "grad_norm": 0.79296875,
1247
+ "learning_rate": 2.2372093023255818e-05,
1248
+ "loss": 0.0708,
1249
+ "step": 1770
1250
+ },
1251
+ {
1252
+ "epoch": 1.3525835866261398,
1253
+ "grad_norm": 0.69140625,
1254
+ "learning_rate": 2.1906976744186047e-05,
1255
+ "loss": 0.0571,
1256
+ "step": 1780
1257
+ },
1258
+ {
1259
+ "epoch": 1.3601823708206686,
1260
+ "grad_norm": 0.734375,
1261
+ "learning_rate": 2.144186046511628e-05,
1262
+ "loss": 0.0626,
1263
+ "step": 1790
1264
+ },
1265
+ {
1266
+ "epoch": 1.3677811550151975,
1267
+ "grad_norm": 0.78125,
1268
+ "learning_rate": 2.0976744186046513e-05,
1269
+ "loss": 0.0687,
1270
+ "step": 1800
1271
+ },
1272
+ {
1273
+ "epoch": 1.3753799392097266,
1274
+ "grad_norm": 0.82421875,
1275
+ "learning_rate": 2.0511627906976746e-05,
1276
+ "loss": 0.0714,
1277
+ "step": 1810
1278
+ },
1279
+ {
1280
+ "epoch": 1.3829787234042552,
1281
+ "grad_norm": 0.74609375,
1282
+ "learning_rate": 2.0046511627906976e-05,
1283
+ "loss": 0.0639,
1284
+ "step": 1820
1285
+ },
1286
+ {
1287
+ "epoch": 1.3905775075987843,
1288
+ "grad_norm": 0.37109375,
1289
+ "learning_rate": 1.9581395348837212e-05,
1290
+ "loss": 0.0674,
1291
+ "step": 1830
1292
+ },
1293
+ {
1294
+ "epoch": 1.3981762917933132,
1295
+ "grad_norm": 0.4921875,
1296
+ "learning_rate": 1.9116279069767442e-05,
1297
+ "loss": 0.0664,
1298
+ "step": 1840
1299
+ },
1300
+ {
1301
+ "epoch": 1.405775075987842,
1302
+ "grad_norm": 0.78515625,
1303
+ "learning_rate": 1.8651162790697675e-05,
1304
+ "loss": 0.0593,
1305
+ "step": 1850
1306
+ },
1307
+ {
1308
+ "epoch": 1.4133738601823709,
1309
+ "grad_norm": 0.65625,
1310
+ "learning_rate": 1.8186046511627908e-05,
1311
+ "loss": 0.0686,
1312
+ "step": 1860
1313
+ },
1314
+ {
1315
+ "epoch": 1.4209726443768997,
1316
+ "grad_norm": 0.7421875,
1317
+ "learning_rate": 1.772093023255814e-05,
1318
+ "loss": 0.0844,
1319
+ "step": 1870
1320
+ },
1321
+ {
1322
+ "epoch": 1.4285714285714286,
1323
+ "grad_norm": 0.70703125,
1324
+ "learning_rate": 1.7255813953488374e-05,
1325
+ "loss": 0.0662,
1326
+ "step": 1880
1327
+ },
1328
+ {
1329
+ "epoch": 1.4361702127659575,
1330
+ "grad_norm": 0.578125,
1331
+ "learning_rate": 1.6790697674418607e-05,
1332
+ "loss": 0.0768,
1333
+ "step": 1890
1334
+ },
1335
+ {
1336
+ "epoch": 1.4437689969604863,
1337
+ "grad_norm": 0.462890625,
1338
+ "learning_rate": 1.6325581395348837e-05,
1339
+ "loss": 0.0686,
1340
+ "step": 1900
1341
+ },
1342
+ {
1343
+ "epoch": 1.4513677811550152,
1344
+ "grad_norm": 0.494140625,
1345
+ "learning_rate": 1.5860465116279073e-05,
1346
+ "loss": 0.0604,
1347
+ "step": 1910
1348
+ },
1349
+ {
1350
+ "epoch": 1.458966565349544,
1351
+ "grad_norm": 0.51171875,
1352
+ "learning_rate": 1.5395348837209303e-05,
1353
+ "loss": 0.0613,
1354
+ "step": 1920
1355
+ },
1356
+ {
1357
+ "epoch": 1.466565349544073,
1358
+ "grad_norm": 0.76171875,
1359
+ "learning_rate": 1.4930232558139537e-05,
1360
+ "loss": 0.0807,
1361
+ "step": 1930
1362
+ },
1363
+ {
1364
+ "epoch": 1.4741641337386018,
1365
+ "grad_norm": 0.796875,
1366
+ "learning_rate": 1.4465116279069768e-05,
1367
+ "loss": 0.0923,
1368
+ "step": 1940
1369
+ },
1370
+ {
1371
+ "epoch": 1.4817629179331306,
1372
+ "grad_norm": 1.015625,
1373
+ "learning_rate": 1.4000000000000001e-05,
1374
+ "loss": 0.0629,
1375
+ "step": 1950
1376
+ },
1377
+ {
1378
+ "epoch": 1.4893617021276595,
1379
+ "grad_norm": 0.80078125,
1380
+ "learning_rate": 1.3534883720930233e-05,
1381
+ "loss": 0.0709,
1382
+ "step": 1960
1383
+ },
1384
+ {
1385
+ "epoch": 1.4969604863221884,
1386
+ "grad_norm": 0.69140625,
1387
+ "learning_rate": 1.3069767441860467e-05,
1388
+ "loss": 0.0765,
1389
+ "step": 1970
1390
+ },
1391
+ {
1392
+ "epoch": 1.5045592705167175,
1393
+ "grad_norm": 0.765625,
1394
+ "learning_rate": 1.2604651162790699e-05,
1395
+ "loss": 0.07,
1396
+ "step": 1980
1397
+ },
1398
+ {
1399
+ "epoch": 1.512158054711246,
1400
+ "grad_norm": 0.546875,
1401
+ "learning_rate": 1.213953488372093e-05,
1402
+ "loss": 0.0614,
1403
+ "step": 1990
1404
+ },
1405
+ {
1406
+ "epoch": 1.5197568389057752,
1407
+ "grad_norm": 0.60546875,
1408
+ "learning_rate": 1.1674418604651163e-05,
1409
+ "loss": 0.0509,
1410
+ "step": 2000
1411
+ },
1412
+ {
1413
+ "epoch": 1.5273556231003038,
1414
+ "grad_norm": 0.443359375,
1415
+ "learning_rate": 1.1209302325581396e-05,
1416
+ "loss": 0.0666,
1417
+ "step": 2010
1418
+ },
1419
+ {
1420
+ "epoch": 1.534954407294833,
1421
+ "grad_norm": 0.54296875,
1422
+ "learning_rate": 1.0744186046511629e-05,
1423
+ "loss": 0.0509,
1424
+ "step": 2020
1425
+ },
1426
+ {
1427
+ "epoch": 1.5425531914893615,
1428
+ "grad_norm": 0.609375,
1429
+ "learning_rate": 1.027906976744186e-05,
1430
+ "loss": 0.0511,
1431
+ "step": 2030
1432
+ },
1433
+ {
1434
+ "epoch": 1.5501519756838906,
1435
+ "grad_norm": 0.98828125,
1436
+ "learning_rate": 9.813953488372093e-06,
1437
+ "loss": 0.0881,
1438
+ "step": 2040
1439
+ },
1440
+ {
1441
+ "epoch": 1.5577507598784195,
1442
+ "grad_norm": 0.48046875,
1443
+ "learning_rate": 9.348837209302326e-06,
1444
+ "loss": 0.0691,
1445
+ "step": 2050
1446
+ },
1447
+ {
1448
+ "epoch": 1.5653495440729484,
1449
+ "grad_norm": 0.310546875,
1450
+ "learning_rate": 8.88372093023256e-06,
1451
+ "loss": 0.079,
1452
+ "step": 2060
1453
+ },
1454
+ {
1455
+ "epoch": 1.5729483282674772,
1456
+ "grad_norm": 0.55859375,
1457
+ "learning_rate": 8.41860465116279e-06,
1458
+ "loss": 0.0604,
1459
+ "step": 2070
1460
+ },
1461
+ {
1462
+ "epoch": 1.580547112462006,
1463
+ "grad_norm": 0.361328125,
1464
+ "learning_rate": 7.953488372093024e-06,
1465
+ "loss": 0.0634,
1466
+ "step": 2080
1467
+ },
1468
+ {
1469
+ "epoch": 1.588145896656535,
1470
+ "grad_norm": 0.7109375,
1471
+ "learning_rate": 7.488372093023257e-06,
1472
+ "loss": 0.0644,
1473
+ "step": 2090
1474
+ },
1475
+ {
1476
+ "epoch": 1.5957446808510638,
1477
+ "grad_norm": 0.87109375,
1478
+ "learning_rate": 7.023255813953489e-06,
1479
+ "loss": 0.0787,
1480
+ "step": 2100
1481
+ },
1482
+ {
1483
+ "epoch": 1.6033434650455927,
1484
+ "grad_norm": 0.7265625,
1485
+ "learning_rate": 6.558139534883721e-06,
1486
+ "loss": 0.0639,
1487
+ "step": 2110
1488
+ },
1489
+ {
1490
+ "epoch": 1.6109422492401215,
1491
+ "grad_norm": 0.86328125,
1492
+ "learning_rate": 6.093023255813954e-06,
1493
+ "loss": 0.0706,
1494
+ "step": 2120
1495
+ },
1496
+ {
1497
+ "epoch": 1.6185410334346506,
1498
+ "grad_norm": 1.046875,
1499
+ "learning_rate": 5.627906976744186e-06,
1500
+ "loss": 0.0735,
1501
+ "step": 2130
1502
+ },
1503
+ {
1504
+ "epoch": 1.6261398176291793,
1505
+ "grad_norm": 0.859375,
1506
+ "learning_rate": 5.162790697674419e-06,
1507
+ "loss": 0.0672,
1508
+ "step": 2140
1509
+ },
1510
+ {
1511
+ "epoch": 1.6337386018237083,
1512
+ "grad_norm": 0.78515625,
1513
+ "learning_rate": 4.697674418604651e-06,
1514
+ "loss": 0.0514,
1515
+ "step": 2150
1516
+ },
1517
+ {
1518
+ "epoch": 1.641337386018237,
1519
+ "grad_norm": 0.447265625,
1520
+ "learning_rate": 4.232558139534884e-06,
1521
+ "loss": 0.0545,
1522
+ "step": 2160
1523
+ },
1524
+ {
1525
+ "epoch": 1.648936170212766,
1526
+ "grad_norm": 0.3515625,
1527
+ "learning_rate": 3.7674418604651167e-06,
1528
+ "loss": 0.0462,
1529
+ "step": 2170
1530
+ },
1531
+ {
1532
+ "epoch": 1.6565349544072947,
1533
+ "grad_norm": 0.67578125,
1534
+ "learning_rate": 3.302325581395349e-06,
1535
+ "loss": 0.0616,
1536
+ "step": 2180
1537
+ },
1538
+ {
1539
+ "epoch": 1.6641337386018238,
1540
+ "grad_norm": 0.6328125,
1541
+ "learning_rate": 2.8372093023255815e-06,
1542
+ "loss": 0.0588,
1543
+ "step": 2190
1544
+ },
1545
+ {
1546
+ "epoch": 1.6717325227963524,
1547
+ "grad_norm": 0.61328125,
1548
+ "learning_rate": 2.372093023255814e-06,
1549
+ "loss": 0.07,
1550
+ "step": 2200
1551
+ },
1552
+ {
1553
+ "epoch": 1.6793313069908815,
1554
+ "grad_norm": 0.6640625,
1555
+ "learning_rate": 1.9069767441860468e-06,
1556
+ "loss": 0.0622,
1557
+ "step": 2210
1558
+ },
1559
+ {
1560
+ "epoch": 1.6869300911854104,
1561
+ "grad_norm": 1.21875,
1562
+ "learning_rate": 1.4418604651162792e-06,
1563
+ "loss": 0.0677,
1564
+ "step": 2220
1565
+ },
1566
+ {
1567
+ "epoch": 1.6945288753799392,
1568
+ "grad_norm": 0.8046875,
1569
+ "learning_rate": 9.767441860465117e-07,
1570
+ "loss": 0.0578,
1571
+ "step": 2230
1572
+ },
1573
+ {
1574
+ "epoch": 1.702127659574468,
1575
+ "grad_norm": 1.125,
1576
+ "learning_rate": 5.116279069767442e-07,
1577
+ "loss": 0.069,
1578
+ "step": 2240
1579
+ },
1580
+ {
1581
+ "epoch": 1.709726443768997,
1582
+ "grad_norm": 0.66015625,
1583
+ "learning_rate": 4.651162790697675e-08,
1584
+ "loss": 0.0562,
1585
+ "step": 2250
1586
+ }
1587
+ ],
1588
+ "logging_steps": 10,
1589
+ "max_steps": 2250,
1590
+ "num_input_tokens_seen": 0,
1591
+ "num_train_epochs": 2,
1592
+ "save_steps": 500,
1593
+ "stateful_callbacks": {
1594
+ "TrainerControl": {
1595
+ "args": {
1596
+ "should_epoch_stop": false,
1597
+ "should_evaluate": false,
1598
+ "should_log": false,
1599
+ "should_save": true,
1600
+ "should_training_stop": true
1601
+ },
1602
+ "attributes": {}
1603
+ }
1604
+ },
1605
+ "total_flos": 2.656510331904e+17,
1606
+ "train_batch_size": 1,
1607
+ "trial_name": null,
1608
+ "trial_params": null
1609
+ }
checkpoint-2250/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:277cd20c3839e147cecba08a82d3f578f086e071ac96bf5f6aac46383cb07206
3
+ size 5777
checkpoint-2250/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
config.json ADDED
@@ -0,0 +1,69 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3ForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "eos_token_id": 151645,
9
+ "head_dim": 128,
10
+ "hidden_act": "silu",
11
+ "hidden_size": 4096,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 12288,
14
+ "layer_types": [
15
+ "full_attention",
16
+ "full_attention",
17
+ "full_attention",
18
+ "full_attention",
19
+ "full_attention",
20
+ "full_attention",
21
+ "full_attention",
22
+ "full_attention",
23
+ "full_attention",
24
+ "full_attention",
25
+ "full_attention",
26
+ "full_attention",
27
+ "full_attention",
28
+ "full_attention",
29
+ "full_attention",
30
+ "full_attention",
31
+ "full_attention",
32
+ "full_attention",
33
+ "full_attention",
34
+ "full_attention",
35
+ "full_attention",
36
+ "full_attention",
37
+ "full_attention",
38
+ "full_attention",
39
+ "full_attention",
40
+ "full_attention",
41
+ "full_attention",
42
+ "full_attention",
43
+ "full_attention",
44
+ "full_attention",
45
+ "full_attention",
46
+ "full_attention",
47
+ "full_attention",
48
+ "full_attention",
49
+ "full_attention",
50
+ "full_attention"
51
+ ],
52
+ "max_position_embeddings": 40960,
53
+ "max_window_layers": 36,
54
+ "model_type": "qwen3",
55
+ "num_attention_heads": 32,
56
+ "num_hidden_layers": 36,
57
+ "num_key_value_heads": 8,
58
+ "pad_token_id": 151645,
59
+ "rms_norm_eps": 1e-06,
60
+ "rope_scaling": null,
61
+ "rope_theta": 1000000,
62
+ "sliding_window": null,
63
+ "tie_word_embeddings": false,
64
+ "torch_dtype": "bfloat16",
65
+ "transformers_version": "4.53.2",
66
+ "use_cache": true,
67
+ "use_sliding_window": false,
68
+ "vocab_size": 151936
69
+ }
generation_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "temperature": 0.6,
10
+ "top_k": 20,
11
+ "top_p": 0.95,
12
+ "transformers_version": "4.53.2"
13
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b4b8b7866da7de950d99dfd423a00796a7038af8721ade356571aed89c0fa2c6
3
+ size 4902257696
model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f5fb9fe2da27da92614814390a84eab48c26481fec4977b9fcc3bdc6b42a5202
3
+ size 4915960368
model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1480803c3abbb0ce7494aa49fae089ddce79e24e81a0ce2dd24e3711a3baf4ea
3
+ size 4983068496
model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f679d313f362b678f202bb3fd74c00f11a84e3b37886a5e4aeeb17b5de7fdb45
3
+ size 1580230264
model.safetensors.index.json ADDED
@@ -0,0 +1,407 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_parameters": 8190735360,
4
+ "total_size": 16381470720
5
+ },
6
+ "weight_map": {
7
+ "lm_head.weight": "model-00004-of-00004.safetensors",
8
+ "model.embed_tokens.weight": "model-00001-of-00004.safetensors",
9
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
10
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
11
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
12
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
13
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
14
+ "model.layers.0.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
15
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
16
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
17
+ "model.layers.0.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
18
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
19
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
20
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
21
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
22
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
23
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
24
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
25
+ "model.layers.1.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
26
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
27
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
28
+ "model.layers.1.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
29
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
30
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
31
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
32
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
33
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
34
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
35
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
36
+ "model.layers.10.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
37
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
38
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
39
+ "model.layers.10.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
40
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
41
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
42
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
43
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
44
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
45
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
46
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
47
+ "model.layers.11.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
48
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
49
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
50
+ "model.layers.11.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
51
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
52
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
53
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
54
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
55
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
56
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
57
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
58
+ "model.layers.12.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
59
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
60
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
61
+ "model.layers.12.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
62
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
63
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
64
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
65
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
66
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
67
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
68
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
69
+ "model.layers.13.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
70
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
71
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
72
+ "model.layers.13.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
73
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
74
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
75
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
76
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
77
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
78
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
79
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
80
+ "model.layers.14.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
81
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
82
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
83
+ "model.layers.14.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
84
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
85
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
86
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
87
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
88
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
89
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
90
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
91
+ "model.layers.15.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
92
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
93
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
94
+ "model.layers.15.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
95
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
96
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
97
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
98
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
99
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
100
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
101
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
102
+ "model.layers.16.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
103
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
104
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
105
+ "model.layers.16.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
106
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
107
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
108
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
109
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
110
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
111
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
112
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
113
+ "model.layers.17.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
114
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
115
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
116
+ "model.layers.17.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
117
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
118
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
119
+ "model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
120
+ "model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
121
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
122
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
123
+ "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
124
+ "model.layers.18.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
125
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
126
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
127
+ "model.layers.18.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
128
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
129
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
130
+ "model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
131
+ "model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
132
+ "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
133
+ "model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
134
+ "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
135
+ "model.layers.19.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
136
+ "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
137
+ "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
138
+ "model.layers.19.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
139
+ "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
140
+ "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
141
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
142
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
143
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
144
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
145
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
146
+ "model.layers.2.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
147
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
148
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
149
+ "model.layers.2.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
150
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
151
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
152
+ "model.layers.20.input_layernorm.weight": "model-00002-of-00004.safetensors",
153
+ "model.layers.20.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
154
+ "model.layers.20.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
155
+ "model.layers.20.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
156
+ "model.layers.20.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
157
+ "model.layers.20.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
158
+ "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
159
+ "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
160
+ "model.layers.20.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
161
+ "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
162
+ "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
163
+ "model.layers.21.input_layernorm.weight": "model-00002-of-00004.safetensors",
164
+ "model.layers.21.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
165
+ "model.layers.21.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
166
+ "model.layers.21.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
167
+ "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
168
+ "model.layers.21.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
169
+ "model.layers.21.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
170
+ "model.layers.21.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
171
+ "model.layers.21.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
172
+ "model.layers.21.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
173
+ "model.layers.21.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
174
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
175
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
176
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
177
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
178
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
179
+ "model.layers.22.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
180
+ "model.layers.22.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
181
+ "model.layers.22.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
182
+ "model.layers.22.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
183
+ "model.layers.22.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
184
+ "model.layers.22.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
185
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
186
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
187
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
188
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
189
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
190
+ "model.layers.23.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
191
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
192
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
193
+ "model.layers.23.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
194
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
195
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
196
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
197
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
198
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
199
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
200
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
201
+ "model.layers.24.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
202
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
203
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
204
+ "model.layers.24.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
205
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
206
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
207
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
208
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
209
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
210
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
211
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
212
+ "model.layers.25.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
213
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
214
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
215
+ "model.layers.25.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
216
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
217
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
218
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
219
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
220
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
221
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
222
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
223
+ "model.layers.26.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
224
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
225
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
226
+ "model.layers.26.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
227
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
228
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
229
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
230
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
231
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
232
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
233
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
234
+ "model.layers.27.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
235
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
236
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
237
+ "model.layers.27.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
238
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
239
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
240
+ "model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
241
+ "model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
242
+ "model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
243
+ "model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
244
+ "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
245
+ "model.layers.28.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
246
+ "model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
247
+ "model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
248
+ "model.layers.28.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
249
+ "model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
250
+ "model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
251
+ "model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
252
+ "model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
253
+ "model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
254
+ "model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
255
+ "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
256
+ "model.layers.29.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
257
+ "model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
258
+ "model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
259
+ "model.layers.29.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
260
+ "model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
261
+ "model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
262
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
263
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
264
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
265
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
266
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
267
+ "model.layers.3.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
268
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
269
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
270
+ "model.layers.3.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
271
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
272
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
273
+ "model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
274
+ "model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
275
+ "model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
276
+ "model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
277
+ "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
278
+ "model.layers.30.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
279
+ "model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
280
+ "model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
281
+ "model.layers.30.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
282
+ "model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
283
+ "model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
284
+ "model.layers.31.input_layernorm.weight": "model-00003-of-00004.safetensors",
285
+ "model.layers.31.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
286
+ "model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
287
+ "model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
288
+ "model.layers.31.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
289
+ "model.layers.31.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
290
+ "model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
291
+ "model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
292
+ "model.layers.31.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
293
+ "model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
294
+ "model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
295
+ "model.layers.32.input_layernorm.weight": "model-00003-of-00004.safetensors",
296
+ "model.layers.32.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
297
+ "model.layers.32.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
298
+ "model.layers.32.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
299
+ "model.layers.32.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
300
+ "model.layers.32.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
301
+ "model.layers.32.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
302
+ "model.layers.32.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
303
+ "model.layers.32.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
304
+ "model.layers.32.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
305
+ "model.layers.32.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
306
+ "model.layers.33.input_layernorm.weight": "model-00003-of-00004.safetensors",
307
+ "model.layers.33.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
308
+ "model.layers.33.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
309
+ "model.layers.33.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
310
+ "model.layers.33.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
311
+ "model.layers.33.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
312
+ "model.layers.33.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
313
+ "model.layers.33.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
314
+ "model.layers.33.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
315
+ "model.layers.33.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
316
+ "model.layers.33.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
317
+ "model.layers.34.input_layernorm.weight": "model-00003-of-00004.safetensors",
318
+ "model.layers.34.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
319
+ "model.layers.34.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
320
+ "model.layers.34.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
321
+ "model.layers.34.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
322
+ "model.layers.34.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
323
+ "model.layers.34.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
324
+ "model.layers.34.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
325
+ "model.layers.34.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
326
+ "model.layers.34.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
327
+ "model.layers.34.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
328
+ "model.layers.35.input_layernorm.weight": "model-00004-of-00004.safetensors",
329
+ "model.layers.35.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
330
+ "model.layers.35.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
331
+ "model.layers.35.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
332
+ "model.layers.35.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
333
+ "model.layers.35.self_attn.k_norm.weight": "model-00004-of-00004.safetensors",
334
+ "model.layers.35.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
335
+ "model.layers.35.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
336
+ "model.layers.35.self_attn.q_norm.weight": "model-00004-of-00004.safetensors",
337
+ "model.layers.35.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
338
+ "model.layers.35.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
339
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
340
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
341
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
342
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
343
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
344
+ "model.layers.4.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
345
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
346
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
347
+ "model.layers.4.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
348
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
349
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
350
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
351
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
352
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
353
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
354
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
355
+ "model.layers.5.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
356
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
357
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
358
+ "model.layers.5.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
359
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
360
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
361
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
362
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
363
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
364
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
365
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
366
+ "model.layers.6.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
367
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
368
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
369
+ "model.layers.6.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
370
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
371
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
372
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
373
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
374
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
375
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
376
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
377
+ "model.layers.7.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
378
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
379
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
380
+ "model.layers.7.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
381
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
382
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
383
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00004.safetensors",
384
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
385
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
386
+ "model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
387
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
388
+ "model.layers.8.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
389
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
390
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
391
+ "model.layers.8.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
392
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
393
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
394
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
395
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
396
+ "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
397
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
398
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
399
+ "model.layers.9.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
400
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
401
+ "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
402
+ "model.layers.9.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
403
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
404
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
405
+ "model.norm.weight": "model-00004-of-00004.safetensors"
406
+ }
407
+ }
runs/Jul18_19-54-02_192-222-59-154/events.out.tfevents.1752868444.192-222-59-154.5692.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6380b89b82379a7af372cffe02c71e9156b6ddc8b08b2c146457d9b8c830ab22
3
+ size 53711