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--- |
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license: cc-by-nc-sa-4.0 |
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language: |
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- en |
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- zh |
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base_model: |
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- Qwen/Qwen2.5-7B-Instruct |
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tags: |
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- machine tranlsation |
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- O1-like model |
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- Chat |
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pipeline_tag: text-generation |
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--- |
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# DeepTrans-7B |
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## Quickstart |
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- ⛷️ Huggingface Transformers: |
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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model_name = "Krystalan/DeepTrans-7B" |
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model = AutoModelForCausalLM.from_pretrained( |
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model_name, |
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torch_dtype="auto", |
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device_map="auto" |
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) |
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tokenizer = AutoTokenizer.from_pretrained(model_name) |
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prompt = "你是一个翻译专家，擅长将英文翻译成中文。你在翻译过程中非常擅长思考，会先进行思考再给出翻译结果。你的输出格式为：\n<think>\n[思考过程]\n</think>[翻译结果]\n\n在你思考完之后，也就是</think>之后，你会给出最终的翻译即“[翻译结果]”，且[翻译结果]中不需要给出任何解释和描述，只需要提供英文的翻译结果。\n现在请你翻译以下这句英语：\n" + "The mother, with her feet propped up on a stool, seemed to be trying to get to the bottom of that answer, whose feminine profundity had struck her all of a heap." |
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messages = [ |
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{"role": "user", "content": prompt} |
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] |
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text = tokenizer.apply_chat_template( |
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messages, |
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tokenize=False, |
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add_generation_prompt=True |
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) |
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model_inputs = tokenizer([text], return_tensors="pt").to(model.device) |
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generated_ids = model.generate( |
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**model_inputs, |
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max_new_tokens=2048 |
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) |
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generated_ids = [ |
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output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids) |
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] |
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response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0] |
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print(response) |
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``` |
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- ⛷️ vllm: |
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Deploying LLMs: |
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```bash |
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python3 -m vllm.entrypoints.openai.api_server --model [model_ckpt] --served-model-name [model_name] |
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``` |
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Calling LLMs: |
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```python |
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from openai import OpenAI |
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# Set OpenAI's API key and API base to use vLLM's API server. |
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openai_api_key = "EMPTY" |
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openai_api_base = "http://localhost:8000/v1" |
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client = OpenAI( |
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api_key=openai_api_key, |
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base_url=openai_api_base, |
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) |
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prompt = "你是一个翻译专家，擅长将英文翻译成中文。你在翻译过程中非常擅长思考，会先进行思考再给出翻译结果。你的输出格式为：\n<think>\n[思考过程]\n</think>[翻译结果]\n\n在你思考完之后，也就是</think>之后，你会给出最终的翻译即“[翻译结果]”，且[翻译结果]中不需要给出任何解释和描述，只需要提供英文的翻译结果。\n现在请你翻译以下这句英语：\n" + "The mother, with her feet propped up on a stool, seemed to be trying to get to the bottom of that answer, whose feminine profundity had struck her all of a heap." |
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chat_response = client.chat.completions.create( |
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model=[model_name], |
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messages=[ |
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{"role": "user", "content": prompt}, |
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], |
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temperature=0.1, |
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top_p=0.8, |
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max_tokens=2048, |
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extra_body={ |
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"repetition_penalty": 1.05, |
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}, |
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) |
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print("Chat response:", chat_response) |
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``` |
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## License |
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This work is licensed under cc-by-nc-sa-4.0 |
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