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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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+ llama3-chinese-8b-instruct.Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - llama3
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+ - chinese
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+ ---
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+
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+ # Llama3-Chinese-8B-Instruct
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+
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+ Llama3-Chinese-8B-Instruct基于Llama3-8B中文微调对话模型,由Llama中文社区和AtomEcho(原子回声)联合研发,我们会持续提供更新的模型参数,模型训练过程见 [https://llama.family](https://llama.family)。
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+
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+ 模型的部署、训练、微调等方法详见Llama中文社区GitHub仓库:[https://github.com/LlamaFamily/Llama-Chinese](https://github.com/LlamaFamily/Llama-Chinese)
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+
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+ ## 如何使用
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+
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+ ```
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+ import transformers
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+ import torch
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+
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+
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+ model_id = "FlagAlpha/Llama3-Chinese-8B-Instruct"
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+
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+ pipeline = transformers.pipeline(
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+ "text-generation",
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+ model=model_id,
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+ model_kwargs={"torch_dtype": torch.float16},
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+ device="cuda",
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+ )
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+
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+
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+ messages = [{"role": "system", "content": ""}]
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+
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+ messages.append(
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+ {"role": "user", "content": "介绍一下机器学习"}
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+ )
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+
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+ prompt = pipeline.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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+
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+ terminators = [
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+ pipeline.tokenizer.eos_token_id,
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+ pipeline.tokenizer.convert_tokens_to_ids("<|eot_id|>")
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+ ]
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+ outputs = pipeline(
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+ prompt,
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+ max_new_tokens=512,
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+ eos_token_id=terminators,
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+ do_sample=True,
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+ temperature=0.6,
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+ top_p=0.9
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+ )
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+
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+ content = outputs[0]["generated_text"][len(prompt):]
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+
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+ print(content)
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+ ```
llama3-chinese-8b-instruct.Q4_0.gguf ADDED
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