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Model: xeker/deepseek-r1-32b-v2-awq Source: Original Platform
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README.md
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---
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license: mit
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base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
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tags:
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- awq
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- 4-bit
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- quantized
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- deepseek
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- reasoning
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- chain-of-thought
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language:
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- ko
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- en
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pipeline_tag: text-generation
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---
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# DeepSeek-R1-32B-v2 AWQ
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DeepSeek-R1-Distill-Qwen-32B의 **AWQ 4-bit** 양자화 모델입니다.
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GPTQ 대비 추론 속도와 메모리 효율에서 장점을 가지며, 한국어 학술 지문 기반 수능 풀이 특화 프로젝트에서 활용되었습니다.
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---
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## 모델 정보
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| 항목 | 내용 |
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|------|------|
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| Base Model | [deepseek-ai/DeepSeek-R1-Distill-Qwen-32B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B) |
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| 양자화 방식 | AWQ 4-bit |
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| 파라미터 수 | 32.8B |
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| 아키텍처 | Qwen2 |
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---
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## GPTQ 버전과 비교
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| 항목 | AWQ (이 모델) | GPTQ |
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|------|--------------|------|
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| 추론 속도 | ✅ 빠름 | 보통 |
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| 메모리 효율 | ✅ 높음 | 보통 |
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| 호환 라이브러리 | autoawq, vLLM | auto-gptq, vLLM |
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| 링크 | 현재 모델 | [xeker/deepseek-r1-32b-v2-gptq](https://huggingface.co/xeker/deepseek-r1-32b-v2-gptq) |
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---
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## 사용 방법
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("xeker/deepseek-r1-32b-v2-awq")
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model = AutoModelForCausalLM.from_pretrained(
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"xeker/deepseek-r1-32b-v2-awq",
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device_map="auto"
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)
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messages = [
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{"role": "user", "content": "다음 문제를 단계적으로 풀어보세요.\n\n[문제]"}
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]
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text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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inputs = tokenizer(text, return_tensors="pt").to(model.device)
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outputs = model.generate(**inputs, max_new_tokens=4096)
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print(tokenizer.decode(outputs[0], skip_special_tokens=False))
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```
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### vLLM 사용 (권장)
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```python
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from vllm import LLM, SamplingParams
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llm = LLM(model="xeker/deepseek-r1-32b-v2-awq", quantization="awq")
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sampling_params = SamplingParams(temperature=0.7, max_tokens=4096)
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outputs = llm.generate(["다음 문제를 풀어보세요."], sampling_params)
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print(outputs[0].outputs[0].text)
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```
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---
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## 프로젝트 배경
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네이버 부스트캠프 AI Tech 8기 팀 프로젝트의 일환으로 진행된 **수능 풀이 특화 LLM 개발** 프로젝트에서 활용된 모델입니다.
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- GitHub: [boostcampaitech8/pro-nlp-mrc-nlp-01](https://github.com/boostcampaitech8/pro-nlp-mrc-nlp-01)
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||||
"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
|
||||
}
|
||||
},
|
||||
"bos_token": "<｜begin▁of▁sentence｜>",
|
||||
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜><think>\\n'}}{% endif %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<｜end▁of▁sentence｜>",
|
||||
"extra_special_tokens": {},
|
||||
"fix_mistral_regex": true,
|
||||
"legacy": true,
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|vision_pad|>",
|
||||
"padding_side": "left",
|
||||
"sp_model_kwargs": {},
|
||||
"tokenizer_class": "LlamaTokenizerFast",
|
||||
"unk_token": null,
|
||||
"use_default_system_prompt": false
|
||||
}
|
||||
Reference in New Issue
Block a user