77 lines
2.2 KiB
Markdown
77 lines
2.2 KiB
Markdown
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---
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frameworks:
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- Pytorch
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license: Apache License 2.0
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tasks:
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- chatbot
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#model-type:
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##如 gpt、phi、llama、chatglm、baichuan 等
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#- gpt
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#domain:
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##如 nlp、cv、audio、multi-modal
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#- nlp
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#language:
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##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa
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#- cn
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#metrics:
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##如 CIDEr、Blue、ROUGE 等
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#- CIDEr
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#tags:
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##各种自定义，包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他
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#- pretrained
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#tools:
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##如 vllm、fastchat、llamacpp、AdaSeq 等
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#- vllm
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---
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### 模型介绍
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首个llama3 中文版系列模型，v1版本 2024-04-19 下午1点
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该版本是instruct 中文版 （本系列第3个模型），支持system prompt自定义，基于英文原版instruct增量170k优质中文对话数据进行sft得到
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Github：https://github.com/CrazyBoyM/llama3-Chinese-chat
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### 模型推理
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首先拉取本模型和Github仓库代码
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```
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git clone https://github.com/CrazyBoyM/llama3-Chinese-chat --depth 1
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git lfs clone https://www.modelscope.cn/baicai003/llama-3-8b-Instruct-chinese_v2.git
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```
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接着
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```
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pip install -U streamlit
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```
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通过以上命令安装streamlit，然后通过下面命令启动网页以便访问，'/path/to/model'需要改成你的权重下载路径。
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V1版本：
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```shell
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cd llama3-Chinese-chat
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streamlit run deploy/web_streamlit_for_v1.py /path/to/model --theme.base="dark"
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```
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Instruct版本 （支持自定义system prompt)
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```
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cd llama3-Chinese-chat
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streamlit run deploy/web_streamlit_for_instruct.py /path/to/model --theme.base="dark"
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```
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### 模型下载
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SDK下载
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```bash
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#安装ModelScope
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pip install modelscope
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```
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```python
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#SDK模型下载
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from modelscope import snapshot_download
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model_dir = snapshot_download('baicai003/llama-3-8b-Instruct-chinese_v2')
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```
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Git下载
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```
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#Git模型下载
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git clone https://www.modelscope.cn/baicai003/llama-3-8b-Instruct-chinese_v2.git
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```
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<p style="color: lightgrey;">如果您是本模型的贡献者，我们邀请您根据<a href="https://modelscope.cn/docs/ModelScope%E6%A8%A1%E5%9E%8B%E6%8E%A5%E5%85%A5%E6%B5%81%E7%A8%8B%E6%A6%82%E8%A7%88" style="color: lightgrey; text-decoration: underline;">模型贡献文档</a>，及时完善模型卡片内容。</p>
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