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llama-2-7b-hf-lora-alpaca-json

PEFT
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  1. README.md +20 -0
  2. adapter_config.json +22 -0
  3. adapter_model.bin +3 -0
  4. checkpoint-5500/README.md +20 -0
  5. checkpoint-5500/adapter_config.json +22 -0
  6. checkpoint-5500/adapter_model.bin +3 -0
  7. checkpoint-5500/optimizer.pt +3 -0
  8. checkpoint-5500/rng_state.pth +3 -0
  9. checkpoint-5500/scheduler.pt +3 -0
  10. checkpoint-5500/trainer_state.json +0 -0
  11. checkpoint-5500/training_args.bin +3 -0
  12. checkpoint-6000/README.md +20 -0
  13. checkpoint-6000/adapter_config.json +22 -0
  14. checkpoint-6000/adapter_model.bin +3 -0
  15. checkpoint-6000/optimizer.pt +3 -0
  16. checkpoint-6000/rng_state.pth +3 -0
  17. checkpoint-6000/scheduler.pt +3 -0
  18. checkpoint-6000/trainer_state.json +0 -0
  19. checkpoint-6000/training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
2
+ library_name: peft
3
+ ---
4
+ ## Training procedure
5
+
6
+
7
+ The following `bitsandbytes` quantization config was used during training:
8
+ - load_in_8bit: False
9
+ - load_in_4bit: True
10
+ - llm_int8_threshold: 6.0
11
+ - llm_int8_skip_modules: None
12
+ - llm_int8_enable_fp32_cpu_offload: False
13
+ - llm_int8_has_fp16_weight: False
14
+ - bnb_4bit_quant_type: nf4
15
+ - bnb_4bit_use_double_quant: True
16
+ - bnb_4bit_compute_dtype: bfloat16
17
+ ### Framework versions
18
+
19
+
20
+ - PEFT 0.4.0.dev0
adapter_config.json ADDED
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+ {
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+ "base_model_name_or_path": "/models/meta-llama--Llama-2-7b-hf",
3
+ "bias": "none",
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+ "fan_in_fan_out": false,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "layers_pattern": null,
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+ "layers_to_transform": null,
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+ "lora_alpha": 16,
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+ "lora_dropout": 0.05,
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "r": 16,
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+ "revision": null,
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+ "target_modules": [
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+ "q_proj",
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+ "k_proj",
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+ "v_proj",
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+ "o_proj"
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+ ],
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+ "task_type": "CAUSAL_LM"
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+ }
adapter_model.bin ADDED
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checkpoint-5500/README.md ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ ---
4
+ ## Training procedure
5
+
6
+
7
+ The following `bitsandbytes` quantization config was used during training:
8
+ - load_in_8bit: False
9
+ - load_in_4bit: True
10
+ - llm_int8_threshold: 6.0
11
+ - llm_int8_skip_modules: None
12
+ - llm_int8_enable_fp32_cpu_offload: False
13
+ - llm_int8_has_fp16_weight: False
14
+ - bnb_4bit_quant_type: nf4
15
+ - bnb_4bit_use_double_quant: True
16
+ - bnb_4bit_compute_dtype: bfloat16
17
+ ### Framework versions
18
+
19
+
20
+ - PEFT 0.4.0.dev0
checkpoint-5500/adapter_config.json ADDED
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+ {
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+ "base_model_name_or_path": "/models/meta-llama--Llama-2-7b-hf",
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+ "bias": "none",
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+ "fan_in_fan_out": false,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "layers_pattern": null,
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+ "layers_to_transform": null,
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+ "lora_alpha": 16,
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+ "lora_dropout": 0.05,
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+ "peft_type": "LORA",
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+ "r": 16,
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+ "target_modules": [
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+ "q_proj",
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+ "k_proj",
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+ "v_proj",
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+ "o_proj"
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+ ],
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+ "task_type": "CAUSAL_LM"
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+ }
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checkpoint-6000/README.md ADDED
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1
+ ---
2
+ library_name: peft
3
+ ---
4
+ ## Training procedure
5
+
6
+
7
+ The following `bitsandbytes` quantization config was used during training:
8
+ - load_in_8bit: False
9
+ - load_in_4bit: True
10
+ - llm_int8_threshold: 6.0
11
+ - llm_int8_skip_modules: None
12
+ - llm_int8_enable_fp32_cpu_offload: False
13
+ - llm_int8_has_fp16_weight: False
14
+ - bnb_4bit_quant_type: nf4
15
+ - bnb_4bit_use_double_quant: True
16
+ - bnb_4bit_compute_dtype: bfloat16
17
+ ### Framework versions
18
+
19
+
20
+ - PEFT 0.4.0.dev0
checkpoint-6000/adapter_config.json ADDED
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+ {
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+ "base_model_name_or_path": "/models/meta-llama--Llama-2-7b-hf",
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+ "bias": "none",
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+ "fan_in_fan_out": false,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "layers_pattern": null,
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+ "layers_to_transform": null,
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+ "lora_alpha": 16,
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+ "lora_dropout": 0.05,
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+ "task_type": "CAUSAL_LM"
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