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97
README.md
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README.md
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||||
---
|
||||
library_name: transformers
|
||||
license: apache-2.0
|
||||
language:
|
||||
- ja
|
||||
base_model:
|
||||
- Qwen/Qwen2.5-32B-Instruct
|
||||
- abeja/ABEJA-Qwen2.5-32b-Japanese-v0.1
|
||||
- Qwen/QwQ-32B
|
||||
pipeline_tag: text-generation
|
||||
---
|
||||
## ABEJA-QwQ32b-Reasoning-Japanese-v1.0
|
||||
|
||||
ABEJA-QwQ32b-Reasoning-Japanese-v1.0はabeja/ABEJA-Qwen2.5-32b-Japanese-v0.1(*)をベースとしたReasoningモデルです。
|
||||
|
||||
ABEJA-Qwen2.5-32b-Japanese-v0.1に対してQwen/QwQ-32BのChatVectorをマージしたあと、追加学習をすることでReasoningモデルとして日本語性能を確保しています。
|
||||
|
||||
(*)Qwen/Qwen2.5-32B-Instructをベースに日本語中心とした継続事前学習を実施したモデル
|
||||
|
||||
|
||||
`<think></think>`で囲まれた思考過程の後に最終的な出力をします。
|
||||
|
||||
|
||||
## 使用上の注意
|
||||
|
||||
モデルマージで利用している [QwQ-32B](https://huggingface.co/Qwen/QwQ-32B) の特性を引き継いでおり、QwQ-32BのUsage-Gidelineに従った利用を推奨します。
|
||||
|
||||
https://huggingface.co/Qwen/QwQ-32B#usage-guidelines
|
||||
|
||||
特に
|
||||
|
||||
- 強制的に思考過程を経るために `<think>\n` の後から出力を開始してください。apply_chat_templateを使いadd_generation_prompt=Trueとすると、自動的に適用されます。
|
||||
- Temperature=0.6, TopP=0.95, MinP=0, TopKを20から40の間、といったパラメータを推奨します。（ここの値を大きく変えると精度が落ちることを確認しています）
|
||||
- multi-turnでの会話では、会話履歴の中には最終的な出力のみで`<think></think>`で囲まれた思考過程は含めないでください。この機能もすでにapply_chat_templateに含んでいます。
|
||||
- Systemプロンプトは不要です。最初にrole:userから始めてください。
|
||||
|
||||
といった点はご注意ください。
|
||||
|
||||
## 使い方
|
||||
|
||||
```Python
|
||||
import torch
|
||||
from transformers import AutoModelForCausalLM, AutoTokenizer
|
||||
|
||||
model_name = "abeja/ABEJA-QwQ32b-Reasoning-Japanese-v1.0"
|
||||
|
||||
model = AutoModelForCausalLM.from_pretrained(
|
||||
model_name,
|
||||
torch_dtype="auto",
|
||||
device_map="auto"
|
||||
)
|
||||
tokenizer = AutoTokenizer.from_pretrained(model_name)
|
||||
|
||||
prompt = "人とAIが協調するためには？"
|
||||
messages = [
|
||||
{"role": "user", "content": prompt}
|
||||
]
|
||||
text = tokenizer.apply_chat_template(
|
||||
messages,
|
||||
tokenize=False,
|
||||
add_generation_prompt=True
|
||||
)
|
||||
model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
|
||||
|
||||
generated_ids = model.generate(
|
||||
**model_inputs,
|
||||
max_new_tokens=32768
|
||||
)
|
||||
generated_ids = model.generate(
|
||||
**model_inputs,
|
||||
max_new_tokens=32768,
|
||||
do_sample=True,
|
||||
temperature=0.6,
|
||||
top_k=40,
|
||||
top_p=0.95,
|
||||
)
|
||||
generated_ids = [
|
||||
output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
|
||||
]
|
||||
|
||||
response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
|
||||
|
||||
print(response)
|
||||
```
|
||||
|
||||
## 開発者
|
||||
|
||||
- Hiroshi Kiyota
|
||||
- Keisuke Fujimoto
|
||||
- Kentaro Nakanishi
|
||||
- Kyo Hattori
|
||||
- Shinya Otani
|
||||
- Shogo Muranushi
|
||||
- Takuma Kume
|
||||
- Tomoki Manabe
|
||||
|
||||
(*)アルファベット順
|
||||
28
added_tokens.json
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28
added_tokens.json
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||||
{
|
||||
"</think>": 151668,
|
||||
"</tool_call>": 151658,
|
||||
"</tool_response>": 151666,
|
||||
"<think>": 151667,
|
||||
"<tool_call>": 151657,
|
||||
"<tool_response>": 151665,
|
||||
"<|box_end|>": 151649,
|
||||
"<|box_start|>": 151648,
|
||||
"<|endoftext|>": 151643,
|
||||
"<|file_sep|>": 151664,
|
||||
"<|fim_middle|>": 151660,
|
||||
"<|fim_pad|>": 151662,
|
||||
"<|fim_prefix|>": 151659,
|
||||
"<|fim_suffix|>": 151661,
|
||||
"<|im_end|>": 151645,
|
||||
"<|im_start|>": 151644,
|
||||
"<|image_pad|>": 151655,
|
||||
"<|object_ref_end|>": 151647,
|
||||
"<|object_ref_start|>": 151646,
|
||||
"<|quad_end|>": 151651,
|
||||
"<|quad_start|>": 151650,
|
||||
"<|repo_name|>": 151663,
|
||||
"<|video_pad|>": 151656,
|
||||
"<|vision_end|>": 151653,
|
||||
"<|vision_pad|>": 151654,
|
||||
"<|vision_start|>": 151652
|
||||
}
|
||||
28
config.json
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28
config.json
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|
||||
{
|
||||
"architectures": [
|
||||
"Qwen2ForCausalLM"
|
||||
],
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 151643,
|
||||
"eos_token_id": 151645,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 5120,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 27648,
|
||||
"max_position_embeddings": 32768,
|
||||
"max_window_layers": 70,
|
||||
"model_type": "qwen2",
|
||||
"num_attention_heads": 40,
|
||||
"num_hidden_layers": 64,
|
||||
"num_key_value_heads": 8,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_scaling": null,
|
||||
"rope_theta": 1000000.0,
|
||||
"sliding_window": null,
|
||||
"tie_word_embeddings": false,
|
||||
"torch_dtype": "bfloat16",
|
||||
"transformers_version": "4.41.2",
|
||||
"use_cache": true,
|
||||
"use_sliding_window": false,
|
||||
"vocab_size": 152064
|
||||
}
|
||||
13
generation_config.json
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13
generation_config.json
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@@ -0,0 +1,13 @@
|
||||
{
|
||||
"bos_token_id": 151643,
|
||||
"do_sample": true,
|
||||
"eos_token_id": [
|
||||
151645,
|
||||
151643
|
||||
],
|
||||
"pad_token_id": 151643,
|
||||
"temperature": 0.6,
|
||||
"top_k": 40,
|
||||
"top_p": 0.95,
|
||||
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"model.layers.62.self_attn.v_proj.weight": "model-00013-of-00014.safetensors",
|
||||
"model.layers.63.input_layernorm.weight": "model-00014-of-00014.safetensors",
|
||||
"model.layers.63.mlp.down_proj.weight": "model-00014-of-00014.safetensors",
|
||||
"model.layers.63.mlp.gate_proj.weight": "model-00013-of-00014.safetensors",
|
||||
"model.layers.63.mlp.up_proj.weight": "model-00014-of-00014.safetensors",
|
||||
"model.layers.63.post_attention_layernorm.weight": "model-00014-of-00014.safetensors",
|
||||
"model.layers.63.self_attn.k_proj.bias": "model-00013-of-00014.safetensors",
|
||||
"model.layers.63.self_attn.k_proj.weight": "model-00013-of-00014.safetensors",
|
||||
"model.layers.63.self_attn.o_proj.weight": "model-00013-of-00014.safetensors",
|
||||
"model.layers.63.self_attn.q_proj.bias": "model-00013-of-00014.safetensors",
|
||||
"model.layers.63.self_attn.q_proj.weight": "model-00013-of-00014.safetensors",
|
||||
"model.layers.63.self_attn.v_proj.bias": "model-00013-of-00014.safetensors",
|
||||
"model.layers.63.self_attn.v_proj.weight": "model-00013-of-00014.safetensors",
|
||||
"model.layers.7.input_layernorm.weight": "model-00002-of-00014.safetensors",
|
||||
"model.layers.7.mlp.down_proj.weight": "model-00002-of-00014.safetensors",
|
||||
"model.layers.7.mlp.gate_proj.weight": "model-00002-of-00014.safetensors",
|
||||
"model.layers.7.mlp.up_proj.weight": "model-00002-of-00014.safetensors",
|
||||
"model.layers.7.post_attention_layernorm.weight": "model-00002-of-00014.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.bias": "model-00002-of-00014.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.weight": "model-00002-of-00014.safetensors",
|
||||
"model.layers.7.self_attn.o_proj.weight": "model-00002-of-00014.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.bias": "model-00002-of-00014.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.weight": "model-00002-of-00014.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.bias": "model-00002-of-00014.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.weight": "model-00002-of-00014.safetensors",
|
||||
"model.layers.8.input_layernorm.weight": "model-00003-of-00014.safetensors",
|
||||
"model.layers.8.mlp.down_proj.weight": "model-00003-of-00014.safetensors",
|
||||
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00014.safetensors",
|
||||
"model.layers.8.mlp.up_proj.weight": "model-00003-of-00014.safetensors",
|
||||
"model.layers.8.post_attention_layernorm.weight": "model-00003-of-00014.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.bias": "model-00002-of-00014.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00014.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00014.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.bias": "model-00002-of-00014.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00014.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.bias": "model-00002-of-00014.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00014.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00003-of-00014.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00003-of-00014.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00003-of-00014.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00003-of-00014.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00003-of-00014.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.bias": "model-00003-of-00014.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00003-of-00014.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00003-of-00014.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.bias": "model-00003-of-00014.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00003-of-00014.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.bias": "model-00003-of-00014.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00003-of-00014.safetensors",
|
||||
"model.norm.weight": "model-00014-of-00014.safetensors"
|
||||
}
|
||||
}
|
||||
303282
tokenizer.json
Normal file
303282
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
239
tokenizer_config.json
Normal file
239
tokenizer_config.json
Normal file
@@ -0,0 +1,239 @@
|
||||
{
|
||||
"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"151643": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151644": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151645": {
|
||||
"content": "<|im_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151646": {
|
||||
"content": "<|object_ref_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151647": {
|
||||
"content": "<|object_ref_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151648": {
|
||||
"content": "<|box_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151649": {
|
||||
"content": "<|box_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151650": {
|
||||
"content": "<|quad_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151651": {
|
||||
"content": "<|quad_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151652": {
|
||||
"content": "<|vision_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151653": {
|
||||
"content": "<|vision_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151654": {
|
||||
"content": "<|vision_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151655": {
|
||||
"content": "<|image_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151656": {
|
||||
"content": "<|video_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151658": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151659": {
|
||||
"content": "<|fim_prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151660": {
|
||||
"content": "<|fim_middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151661": {
|
||||
"content": "<|fim_suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151662": {
|
||||
"content": "<|fim_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151663": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151665": {
|
||||
"content": "<tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151666": {
|
||||
"content": "</tool_response>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151667": {
|
||||
"content": "<think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151668": {
|
||||
"content": "</think>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- '' }}\n {%- endif %}\n {{- \"\\n\\n# 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>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\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\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" and not message.tool_calls %}\n {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n<think>\\n' }}\n{%- endif %}\n",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user