初始化项目，由ModelHub XC社区提供模型
Model: MTSAIR/Cotype-Nano-4bit Source: Original Platform
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Apache License MTS AI.docx
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Apache License MTS AI.docx
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README.md
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---
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library_name: transformers
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language:
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- ru
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- en
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pipeline_tag: text-generation
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license: other
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license_name: apache-2.0
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license_link: https://huggingface.co/MTSAIR/Cotype-Nano-4bit/blob/main/Apache%20License%20MTS%20AI.docx
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---
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# Cotype-Nano-4bit🤖
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Cotype-Nano-4bit – это LLM, которая весит меньше и работает быстрее чем Cotype-Nano, при этом сохраняя свои языковые способности
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Cotype-Nano-4bit is an LLM that is lighter and runs faster than Cotype-Nano, while maintaining its language capabilities.
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### Inference with vLLM
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```
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python3 -m vllm.entrypoints.openai.api_server --model MTSAIR/Cotype-Nano-4bit --port 8000
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```
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### Recommended generation parameters and system prompt
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```python
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import openai
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import pandas as pd
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from tqdm import tqdm
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openai.api_key = 'xxx'
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endpoint = 'http://localhost:8000/v1'
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model = 'MTSAIR/Cotype-Nano-4bit'
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openai.api_base = endpoint
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response = openai.ChatCompletion.create(
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model=model,
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temperature=0.0, # также допускается 0.2
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frequency_penalty=0.0,
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max_tokens=2048,
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top_p=0.1, # также допускается 0.9
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messages=[
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{"role": "system", "content": "Ты — ИИ-помощник. Тебе дано задание: необходимо сгенерировать подробный и развернутый ответ."},
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{"role": "user", "content": "Расскажи мне про ИИ, коротко"}
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]
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)
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answer = response["choices"][0]["message"]["content"]
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print(answer)
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```
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### Inference with Huggingface
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```python
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from transformers import pipeline
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pipe = pipeline("text-generation", model="MTSAIR/Cotype-Nano-4bit", device="cuda")
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messages = [
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{"role": "system", "content": "Ты — ИИ-помощник. Тебе дано задание: необходимо сгенерировать подробный и развернутый ответ."},
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{"role": "user", "content": "Расскажи мне про ИИ"},
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]
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res = pipe(messages, max_length=1024)
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print(res[0]['generated_text'][1])
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```
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## Example request
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**Request:**
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#### Cotype-Nano-4bit response:
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> **Рекламный текст для магазина экологичной одежды:**
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>
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> ---
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>
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> **Заботьтесь о Земле, одевайтесь с умом!**
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>
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> Приглашаем вас в мир экологичной моды! Мы предлагаем вам не только стильные и качественные вещи, но и возможность сделать свой выбор в пользу устойчивого развития и сохранения природы.
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>
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> **Экологичная одежда – ваш выбор!**
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>
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> 1. **Создание гармонии с природой.** Мы используем только экологически чистые материалы, которые не наносят вреда окружающей среде.
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> 2. **Минимализм в стиле.** Наша одежда – это не просто предметы гардероба, это стиль, который подчеркивает вашу индивидуальность.
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> 3. **Продолжительный срок службы.** Мы создаем вещи, которые прослужат вам долго, что позволяет избежать ненужного потребления и отходов.
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> 4. **Поддержка местных производителей.** Мы выбираем местных мастеров и производителей, что способствует созданию рабочих мест и поддерживает местную экономику.
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> 5. **Возвращаем вещи в круговорот.** Мы предлагаем программы по возврату и переработке одежды, чтобы вы могли внести свой вклад в сохранение экологии.
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>
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> **Ваш выбор – ваша ответственность.**
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>
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> Выбирайте экологичную одежду, и помните, что ваш выбор влияет на будущее нашей планеты. Давайте вместе создадим гармонию между человеком, его потребностями и природой.
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>
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> **Приходите в наш магазин, чтобы стать частью экологической моды!**
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>
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> ---
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>
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>Мы уверены, что вы найдете в нашем ассортименте не только стильные вещи, но и уверенность в том, что ваш выбор в пользу устойчивости и экологии не будет лишним. Приходите и посмотрите, как можно сочетать моду с ответственностью!
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### Results on ru-llm-arena: 22.5 (local measurement)
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| Model | Score | 95% CI | Avg. #Tokens |
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|---------------------------------------------|-------|-------------------------|---------------|
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| **Cotype-Nano-4bit** | **22.5** | **+2.1 / -1.4** | **582** |
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| storm-7b | 20.62 | +1.4 / -1.6 | 419.32 |
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| neural-chat-7b-v3-3 | 19.04 | +1.8 / -1.5 | 927.21 |
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| Vikhrmodels-Vikhr-Llama-3.2-1B-instruct | 19.04 | +1.2 / -1.5 | 958.63 |
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| gigachat_lite | 17.2 | +1.5 / -1.5 | 276.81 |
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| Vikhrmodels-Vikhr-Qwen-2.5-0.5b-Instruct | 16.5 | +1.5 / -1.7 | 583.5 |
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| Qwen-Qwen2.5-1.5B-Instruct | 16.46 | +1.3 / -1.3 | 483.67 |
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| Vikhrmodels-vikhr-qwen-1.5b-it | 13.19 | +1.3 / -1.1 | 2495.38 |
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| meta-llama-Llama-3.2-1B-Instruct | 4.04 | +0.6 / -0.8 | 1240.53 |
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| Qwen-Qwen2.5-0.5B-Instruct | 4.02 | +0.7 / -0.8 | 829.87 |
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config.json
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"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
|
||||
}
|
||||
},
|
||||
"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 {%- else %}\n {{- '' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.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' }}\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
|
||||
}
|
||||
BIN
vocab.json
(Stored with Git LFS)
Normal file
BIN
vocab.json
(Stored with Git LFS)
Normal file
Binary file not shown.
Reference in New Issue
Block a user