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yujiepan
/
ring-tiny-random

Text Generation
Transformers
Safetensors
conversational
custom_code
Model card Files
xet
Community
yujiepan commited on
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Files changed (9) hide show
  1. .gitattributes +1 -0
  2. README.md +159 -0
  3. chat_template.jinja +1 -0
  4. config.json +56 -0
  5. generation_config.json +10 -0
  6. model.safetensors +3 -0
  7. special_tokens_map.json +30 -0
  8. tokenizer.json +3 -0
  9. tokenizer_config.json +2130 -0
.gitattributes CHANGED
@@ -33,3 +33,4 @@ 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
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,159 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ pipeline_tag: text-generation
4
+ inference: true
5
+ widget:
6
+ - text: Hello!
7
+ example_title: Hello world
8
+ group: Python
9
+ base_model:
10
+ - inclusionAI/Ring-1T-preview
11
+ ---
12
+
13
+ This tiny model is intended for debugging. It is randomly initialized using the configuration adapted from [inclusionAI/Ring-1T-preview](https://huggingface.co/inclusionAI/Ring-1T-preview).
14
+
15
+ ### Example usage:
16
+
17
+ ```python
18
+ import torch
19
+ from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
20
+
21
+ model_id = "yujiepan/ring-tiny-random"
22
+ tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
23
+ model = AutoModelForCausalLM.from_pretrained(
24
+ model_id,
25
+ torch_dtype=torch.bfloat16,
26
+ trust_remote_code=True,
27
+ )
28
+ pipe = pipeline('text-generation', model=model, tokenizer=tokenizer, trust_remote_code=True)
29
+ print(pipe('Write an article about Artificial Intelligence.'))
30
+ ```
31
+
32
+ ### Codes to create this repo:
33
+
34
+ ```python
35
+ import json
36
+ from pathlib import Path
37
+
38
+ import accelerate
39
+ import torch
40
+ from huggingface_hub import file_exists, hf_hub_download
41
+ from transformers import (
42
+ AutoConfig,
43
+ AutoModelForCausalLM,
44
+ AutoTokenizer,
45
+ GenerationConfig,
46
+ set_seed,
47
+ )
48
+
49
+ source_model_id = "inclusionAI/Ring-1T-preview"
50
+ save_folder = "/tmp/yujiepan/ring-tiny-random"
51
+
52
+ processor = AutoTokenizer.from_pretrained(source_model_id)
53
+ processor.save_pretrained(save_folder)
54
+
55
+ with open(hf_hub_download(source_model_id, filename='config.json', repo_type='model'), 'r', encoding='utf-8') as f:
56
+ config_json = json.load(f)
57
+ for k, v in config_json['auto_map'].items():
58
+ config_json['auto_map'][k] = f'{source_model_id}--{v}'
59
+
60
+ config_json['head_dim'] = 32
61
+ config_json['hidden_size'] = 8
62
+ config_json['intermediate_size'] = 64
63
+ config_json['moe_intermediate_size'] = 64
64
+ config_json['first_k_dense_replace'] = 1
65
+ config_json['num_attention_heads'] = 8
66
+ config_json['num_hidden_layers'] = 2
67
+ config_json['num_key_value_heads'] = 4
68
+
69
+ with open(f"{save_folder}/config.json", "w", encoding='utf-8') as f:
70
+ json.dump(config_json, f, indent=2)
71
+
72
+ config = AutoConfig.from_pretrained(
73
+ save_folder,
74
+ trust_remote_code=True,
75
+ )
76
+ print(config)
77
+ automap = config_json['auto_map']
78
+ torch.set_default_dtype(torch.bfloat16)
79
+ model = AutoModelForCausalLM.from_config(config, trust_remote_code=True)
80
+ torch.set_default_dtype(torch.float32)
81
+
82
+ if file_exists(filename="generation_config.json", repo_id=source_model_id, repo_type='model'):
83
+ model.generation_config = GenerationConfig.from_pretrained(
84
+ source_model_id, trust_remote_code=True,
85
+ )
86
+ set_seed(42)
87
+ model = model.cpu()
88
+ with torch.no_grad():
89
+ for name, p in sorted(model.named_parameters()):
90
+ torch.nn.init.normal_(p, 0, 0.1)
91
+ print(name, p.shape)
92
+ model.save_pretrained(save_folder)
93
+ print(model)
94
+ with open(f"{save_folder}/config.json", "r", encoding='utf-8') as f:
95
+ config_json = json.load(f)
96
+ config_json['auto_map'] = automap
97
+ with open(f"{save_folder}/config.json", "w", encoding='utf-8') as f:
98
+ json.dump(config_json, f, indent=2)
99
+ for python_file in Path(save_folder).glob('*.py'):
100
+ python_file.unlink()
101
+ ```
102
+
103
+ ### Printing the model:
104
+
105
+ ```text
106
+ BailingMoeV2ForCausalLM(
107
+ (model): BailingMoeV2Model(
108
+ (word_embeddings): Embedding(157184, 8, padding_idx=156892)
109
+ (layers): ModuleList(
110
+ (0): BailingMoeV2DecoderLayer(
111
+ (attention): BailingMoeV2SdpaAttention(
112
+ (query_key_value): Linear(in_features=8, out_features=512, bias=False)
113
+ (query_layernorm): BailingMoeV2RMSNorm()
114
+ (key_layernorm): BailingMoeV2RMSNorm()
115
+ (dense): Linear(in_features=256, out_features=8, bias=False)
116
+ )
117
+ (mlp): BailingMoeV2MLP(
118
+ (gate_proj): Linear(in_features=8, out_features=64, bias=False)
119
+ (up_proj): Linear(in_features=8, out_features=64, bias=False)
120
+ (down_proj): Linear(in_features=64, out_features=8, bias=False)
121
+ (act_fn): SiLU()
122
+ )
123
+ (input_layernorm): BailingMoeV2RMSNorm()
124
+ (post_attention_layernorm): BailingMoeV2RMSNorm()
125
+ )
126
+ (1): BailingMoeV2DecoderLayer(
127
+ (attention): BailingMoeV2SdpaAttention(
128
+ (query_key_value): Linear(in_features=8, out_features=512, bias=False)
129
+ (query_layernorm): BailingMoeV2RMSNorm()
130
+ (key_layernorm): BailingMoeV2RMSNorm()
131
+ (dense): Linear(in_features=256, out_features=8, bias=False)
132
+ )
133
+ (mlp): BailingMoeV2SparseMoeBlock(
134
+ (experts): ModuleList(
135
+ (0-255): 256 x BailingMoeV2MLP(
136
+ (gate_proj): Linear(in_features=8, out_features=64, bias=False)
137
+ (up_proj): Linear(in_features=8, out_features=64, bias=False)
138
+ (down_proj): Linear(in_features=64, out_features=8, bias=False)
139
+ (act_fn): SiLU()
140
+ )
141
+ )
142
+ (gate): BailingMoeV2Gate()
143
+ (shared_experts): BailingMoeV2MLP(
144
+ (gate_proj): Linear(in_features=8, out_features=64, bias=False)
145
+ (up_proj): Linear(in_features=8, out_features=64, bias=False)
146
+ (down_proj): Linear(in_features=64, out_features=8, bias=False)
147
+ (act_fn): SiLU()
148
+ )
149
+ )
150
+ (input_layernorm): BailingMoeV2RMSNorm()
151
+ (post_attention_layernorm): BailingMoeV2RMSNorm()
152
+ )
153
+ )
154
+ (norm): BailingMoeV2RMSNorm()
155
+ (rotary_emb): BailingMoeV2RotaryEmbedding()
156
+ )
157
+ (lm_head): Linear(in_features=8, out_features=157184, bias=False)
158
+ )
159
+ ```
chat_template.jinja ADDED
@@ -0,0 +1 @@
 
 
1
+ {% for message in messages %}{% set role = message['role'] | lower %}{% if role == 'user' %}{% set role = 'HUMAN' %}{% endif %}{% set role = role | upper %}{{ '<role>' + role + '</role>' + message['content'] }}{% endfor %}{% if add_generation_prompt %}{{ '<role>ASSISTANT</role>' }}{% endif %}
config.json ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "architectures": [
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+ "BailingMoeV2ForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "auto_map": {
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+ "AutoConfig": "inclusionAI/Ring-1T-preview--configuration_bailing_moe_v2.BailingMoeV2Config",
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+ "AutoModel": "inclusionAI/Ring-1T-preview--modeling_bailing_moe_v2.BailingMoeV2Model",
9
+ "AutoModelForCausalLM": "inclusionAI/Ring-1T-preview--modeling_bailing_moe_v2.BailingMoeV2ForCausalLM"
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+ },
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+ "dtype": "bfloat16",
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+ "embedding_dropout": 0.0,
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+ "eos_token_id": 156892,
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+ "first_k_dense_replace": 1,
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+ "head_dim": 32,
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+ "hidden_act": "silu",
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+ "hidden_size": 8,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 64,
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+ "max_position_embeddings": 32768,
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+ "max_window_layers": 20,
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+ "moe_intermediate_size": 64,
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+ "moe_router_enable_expert_bias": true,
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+ "mtp_loss_scaling_factor": 0,
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+ "n_group": 8,
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+ "norm_head": false,
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+ "norm_softmax": false,
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+ "norm_topk_prob": true,
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+ "num_attention_heads": 8,
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+ "num_experts": 256,
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+ "num_experts_per_tok": 8,
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+ "num_hidden_layers": 2,
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+ "num_key_value_heads": 4,
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+ "num_nextn_predict_layers": 0,
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+ "num_shared_experts": 1,
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+ "output_dropout": 0.0,
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+ "output_router_logits": false,
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+ "pad_token_id": 156892,
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+ "rms_norm_eps": 1e-06,
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+ "rope_scaling": null,
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+ "rope_theta": 600000,
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+ "rotary_dim": 64,
43
+ "routed_scaling_factor": 2.5,
44
+ "router_dtype": "fp32",
45
+ "score_function": "sigmoid",
46
+ "tie_word_embeddings": false,
47
+ "topk_group": 4,
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+ "transformers_version": "4.57.0.dev0",
49
+ "use_bias": false,
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+ "use_cache": true,
51
+ "use_qk_norm": true,
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+ "use_qkv_bias": false,
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+ "use_rmsnorm": true,
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+ "using_split_qkv_in_self_attention": false,
55
+ "vocab_size": 157184
56
+ }
generation_config.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "bos_token_id": 156891,
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+ "eos_token_id": [
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+ 156892,
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+ 156895
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+ ],
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+ "pad_token_id": 156892,
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+ "transformers_version": "4.57.0.dev0",
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+ "trust_remote_code": true
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+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:cc7e6996b280120b11a4e490090597d5efd145a405b5e4d60d2da96a0dcb89ab
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+ size 5941944
special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "bos_token": {
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+ "content": "<|startoftext|>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false
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+ },
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+ "cls_token": {
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+ "content": "[CLS]",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false
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+ },
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+ "eos_token": {
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+ "content": "<|endoftext|>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false
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+ },
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+ "pad_token": {
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+ "content": "<|endoftext|>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false
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+ }
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+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:900b1506b10cb9990d08d7e9101382b86f35d49b3c4907181f84dcf5101e060e
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+ size 12206218
tokenizer_config.json ADDED
@@ -0,0 +1,2130 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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