初始化项目，由ModelHub XC社区提供模型

Model: AI-ModelScope/DeepTrans-7B
Source: Original Platform

README.md

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+
+
+---
+license: cc-by-nc-sa-4.0
+language:
+- en
+- zh
+base_model:
+- Qwen/Qwen2.5-7B-Instruct
+tags:
+- machine tranlsation
+- O1-like model
+- Chat
+pipeline_tag: text-generation
+---
+
+# DeepTrans-7B
+
+
+## Quickstart
+- ⛷️ Huggingface Transformers:
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "Krystalan/DeepTrans-7B"
+
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    torch_dtype="auto",
+    device_map="auto"
+)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+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."
+
+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=2048
+)
+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)
+```
+
+- ⛷️ vllm:
+
+Deploying LLMs:
+```bash
+python3 -m vllm.entrypoints.openai.api_server --model [model_ckpt] --served-model-name [model_name]
+```
+
+Calling LLMs:
+```python
+from openai import OpenAI
+# Set OpenAI's API key and API base to use vLLM's API server.
+openai_api_key = "EMPTY"
+openai_api_base = "http://localhost:8000/v1"
+
+client = OpenAI(
+    api_key=openai_api_key,
+    base_url=openai_api_base,
+)
+
+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."
+
+chat_response = client.chat.completions.create(
+    model=[model_name],
+    messages=[
+        {"role": "user", "content": prompt},
+    ],
+    temperature=0.1,
+    top_p=0.8,
+    max_tokens=2048,
+    extra_body={
+        "repetition_penalty": 1.05,
+    },
+)
+print("Chat response:", chat_response)
+```
+
+
+
+## License
+This work is licensed under cc-by-nc-sa-4.0
+
+
+