--- frameworks: - Pytorch license: Apache License 2.0 language: - zh - en model-type: - llama #model-type: ##如 gpt、phi、llama、chatglm、baichuan 等 #- gpt #domain: ##如 nlp、cv、audio、multi-modal #- nlp #language: ##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa #- cn #metrics: ##如 CIDEr、Blue、ROUGE 等 #- CIDEr #tags: ##各种自定义,包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他 #- pretrained #tools: ##如 vllm、fastchat、llamacpp、AdaSeq 等 #- vllm --- ## **📣📣📣 v3版指令模型已发布,欢迎使用 👉 [[HF版]](https://modelscope.cn/models/ChineseAlpacaGroup/llama-3-chinese-8b-instruct-v3) [[GGUF版]](https://modelscope.cn/models/ChineseAlpacaGroup/llama-3-chinese-8b-instruct-v3-gguf)** # Llama-3-Chinese-8B-Instruct
本仓库包含了**Llama-3-Chinese-8B-Instruct**,它是在[Llama-3-Chinese-8B](https://modelscope.cn/models/ChineseAlpacaGroup/llama-3-chinese-8b)的基础上,使用了500万条指令数据进行精调。 **注意:这是一个指令/chat模型,可直接用于对话、聊天、问答。** 更多细节(性能、使用方法等)请参考GitHub项目页面:https://github.com/ymcui/Chinese-LLaMA-Alpaca-3 ## 其他 - LoRA模型:https://modelscope.cn/models/ChineseAlpacaGroup/llama-3-chinese-8b-instruct-lora - GGUF模型(llama.cpp兼容):https://modelscope.cn/models/ChineseAlpacaGroup/llama-3-chinese-8b-instruct-gguf - 关于本模型的提问,请通过 https://github.com/ymcui/Chinese-LLaMA-Alpaca-3 提交issue ---- This repository contains **Llama-3-Chinese-8B-Instruct-LoRA**, which is further tuned with 5M instruction data on [Llama-3-Chinese-8B](https://huggingface.co/hfl/llama-3-chinese-8b). **Note: You must combine LoRA with the original [Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) to obtain full weight.** Further details (performance, usage, etc.) should refer to GitHub project page: https://github.com/ymcui/Chinese-LLaMA-Alpaca-3 ## Others - For LoRA model, please see: https://modelscope.cn/models/ChineseAlpacaGroup/llama-3-chinese-8b-instruct-lora - For GGUF model (llama.cpp compatible), please see: https://modelscope.cn/models/ChineseAlpacaGroup/llama-3-chinese-8b-instruct-gguf - If you have questions/issues regarding this model, please submit an issue through https://github.com/ymcui/Chinese-LLaMA-Alpaca-3