base on llm deploy project based mnn. This project has merged into MNN. ![mnn-llm](resource/logo.png) # mnn-llm [![License](https://img.shields.io/github/license/wangzhaode/mnn-llm)](LICENSE.txt) [![Download](https://img.shields.io/github/downloads/wangzhaode/mnn-llm/total)](https://github.com/wangzhaode/mnn-llm/releases) [![Documentation Status](https://readthedocs.org/projects/mnn-llm/badge/?version=latest)](https://mnn-llm.readthedocs.io/en/latest/?badge=latest) [English](./README_en.md) **该项目代码已经Merge到[MNN](https://github.com/alibaba/MNN/tree/master/transformers/llm).** ## 示例工程 - [cli](./demo/cli_demo.cpp): 使用命令行编译,android编译参考[android_build.sh](./script/android_build.sh) - [web](./demo/web_demo.cpp): 使用命令行编译,运行时需要指定[web资源](./web) - [android](./android/): 使用Android Studio打开编译; - [ios](./ios/README.md): 使用Xcode打开编译;🚀🚀🚀**该示例代码100%由ChatGPT生成**🚀🚀🚀 - [python](./python/README.md): 对mnn-llm的python封装`mnnllm`; - [other](./demo): 新增文本embedding; ## 模型导出与下载 llm模型导出`onnx`和`mnn`模型请使用[llm-export](https://github.com/wangzhaode/llm-export) [模型下载](./docs/download.md) ## 构建 CI构建状态: [![Build Status][pass-linux]][ci-linux] [![Build Status][pass-macos]][ci-macos] [![Build Status][pass-windows]][ci-windows] [![Build Status][pass-android]][ci-android] [![Build Status][pass-ios]][ci-ios] [![Build Status][pass-python]][ci-python] [pass-linux]: https://github.com/wangzhaode/mnn-llm/actions/workflows/linux.yml/badge.svg [pass-macos]: https://github.com/wangzhaode/mnn-llm/actions/workflows/macos.yml/badge.svg [pass-windows]: https://github.com/wangzhaode/mnn-llm/actions/workflows/windows.yml/badge.svg [pass-android]: https://github.com/wangzhaode/mnn-llm/actions/workflows/android.yml/badge.svg [pass-ios]: https://github.com/wangzhaode/mnn-llm/actions/workflows/ios.yml/badge.svg [pass-python]: https://github.com/wangzhaode/mnn-llm/actions/workflows/python.yml/badge.svg [ci-linux]: https://github.com/wangzhaode/mnn-llm/actions/workflows/linux.yml [ci-macos]: https://github.com/wangzhaode/mnn-llm/actions/workflows/macos.yml [ci-windows]: https://github.com/wangzhaode/mnn-llm/actions/workflows/windows.yml [ci-android]: https://github.com/wangzhaode/mnn-llm/actions/workflows/android.yml [ci-ios]: https://github.com/wangzhaode/mnn-llm/actions/workflows/ios.yml [ci-python]: https://github.com/wangzhaode/mnn-llm/actions/workflows/python.yml ### 本地编译 ``` # clone git clone --recurse-submodules https://github.com/wangzhaode/mnn-llm.git cd mnn-llm # linux ./script/build.sh # macos ./script/build.sh # windows msvc ./script/build.ps1 # python wheel ./script/py_build.sh # android ./script/android_build.sh # android apk ./script/android_app_build.sh # ios ./script/ios_build.sh ``` 一些编译宏: - `BUILD_FOR_ANDROID`: 编译到Android设备; - `LLM_SUPPORT_VISION`: 是否支持视觉处理能力; - `DUMP_PROFILE_INFO`: 每次对话后dump出性能数据到命令行中; 默认使用`CPU`,如果使用其他后端或能力,可以在编译MNN时添加`MNN`编译宏 - cuda: `-DMNN_CUDA=ON` - opencl: `-DMNN_OPENCL=ON` - metal: `-DMNN_METAL=ON` ### 4. 执行 ```bash # linux/macos ./cli_demo ./Qwen2-1.5B-Instruct-MNN/config.json # cli demo ./web_demo ./Qwen2-1.5B-Instruct-MNN/config.json ../web # web ui demo # windows .\Debug\cli_demo.exe ./Qwen2-1.5B-Instruct-MNN/config.json .\Debug\web_demo.exe ./Qwen2-1.5B-Instruct-MNN/config.json ../web # android adb push android_build/MNN/OFF/arm64-v8a/libMNN.so /data/local/tmp adb push android_build/MNN/express/OFF/arm64-v8a/libMNN_Express.so /data/local/tmp adb push android_build/libllm.so android_build/cli_demo /data/local/tmp adb push Qwen2-1.5B-Instruct-MNN /data/local/tmp adb shell "cd /data/local/tmp && export LD_LIBRARY_PATH=. && ./cli_demo ./Qwen2-1.5B-Instruct-MNN/config.json" ``` ## Reference <details> <summary>reference</summary> - [cpp-httplib](https://github.com/yhirose/cpp-httplib) - [chatgpt-web](https://github.com/xqdoo00o/chatgpt-web) - [ChatViewDemo](https://github.com/BrettFX/ChatViewDemo) - [nlohmann/json](https://github.com/nlohmann/json) - [Qwen-1.8B-Chat](https://modelscope.cn/models/qwen/Qwen-1_8B-Chat/summary) - [Qwen-7B-Chat](https://modelscope.cn/models/qwen/Qwen-7B-Chat/summary) - [Qwen-VL-Chat](https://modelscope.cn/models/qwen/Qwen-VL-Chat/summary) - [Qwen1.5-0.5B-Chat](https://modelscope.cn/models/qwen/Qwen1.5-0.5B-Chat/summary) - [Qwen1.5-1.8B-Chat](https://modelscope.cn/models/qwen/Qwen1.5-1.8B-Chat/summary) - [Qwen1.5-4B-Chat](https://modelscope.cn/models/qwen/Qwen1.5-4B-Chat/summary) - [Qwen1.5-7B-Chat](https://modelscope.cn/models/qwen/Qwen1.5-7B-Chat/summary) - [Qwen2-0.5B-Instruct](https://modelscope.cn/models/qwen/Qwen2-0.5B-Instruct/summary) - [Qwen2-1.5B-Instruct](https://modelscope.cn/models/qwen/Qwen2-1.5B-Instruct/summary) - [Qwen2-7B-Instruct](https://modelscope.cn/models/qwen/Qwen2-7B-Instruct/summary) - [Qwen2-VL-2B-Instruct](https://modelscope.cn/models/qwen/Qwen2-VL-2B-Instruct/summary) - [Qwen2-VL-7B-Instruct](https://modelscope.cn/models/qwen/Qwen2-VL-7B-Instruct/summary) - [Qwen2.5-0.5B-Instruct](https://modelscope.cn/models/qwen/Qwen2.5-0.5B-Instruct/summary) - [Qwen2.5-1.5B-Instruct](https://modelscope.cn/models/qwen/Qwen2.5-1.5B-Instruct/summary) - [Qwen2.5-3B-Instruct](https://modelscope.cn/models/qwen/Qwen2.5-3B-Instruct/summary) - [Qwen2.5-7B-Instruct](https://modelscope.cn/models/qwen/Qwen2.5-7B-Instruct/summary) - [Qwen2.5-Coder-1.5B-Instruct](https://modelscope.cn/models/qwen/Qwen2.5-Coder-1.5B-Instruct/summary) - [Qwen2.5-Coder-7B-Instruct](https://modelscope.cn/models/qwen/Qwen2.5-Coder-7B-Instruct/summary) - [Qwen2.5-Math-1.5B-Instruct](https://modelscope.cn/models/qwen/Qwen2.5-Math-1.5B-Instruct/summary) - [Qwen2.5-Math-7B-Instruct](https://modelscope.cn/models/qwen/Qwen2.5-Math-7B-Instruct/summary) - [chatglm-6b](https://modelscope.cn/models/ZhipuAI/chatglm-6b/summary) - [chatglm2-6b](https://modelscope.cn/models/ZhipuAI/chatglm2-6b/summary) - [codegeex2-6b](https://modelscope.cn/models/ZhipuAI/codegeex2-6b/summary) - [chatglm3-6b](https://modelscope.cn/models/ZhipuAI/chatglm3-6b/summary) - [glm4-9b-chat](https://modelscope.cn/models/ZhipuAI/glm-4-9b-chat/summary) - [Llama-2-7b-chat-ms](https://modelscope.cn/models/modelscope/Llama-2-7b-chat-ms/summary) - [Llama-3-8B-Instruct](https://modelscope.cn/models/modelscope/Meta-Llama-3-8B-Instruct/summary) - [Llama-3.2-1B-Instruct](https://modelscope.cn/models/LLM-Research/Llama-3.2-1B-Instruct/summary) - [Llama-3.2-3B-Instruct](https://modelscope.cn/models/LLM-Research/Llama-3.2-3B-Instruct/summary) - [Baichuan2-7B-Chat](https://modelscope.cn/models/baichuan-inc/baichuan-7B/summary) - [internlm-chat-7b](https://modelscope.cn/models/Shanghai_AI_Laboratory/internlm-chat-7b/summary) - [Yi-6B-Chat](https://modelscope.cn/models/01ai/Yi-6B-Chat/summary) - [deepseek-llm-7b-chat](https://modelscope.cn/models/deepseek-ai/deepseek-llm-7b-chat/summary) - [TinyLlama-1.1B-Chat-v0.6](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v0.6) - [phi-2](https://modelscope.cn/models/AI-ModelScope/phi-2/summary) - [bge-large-zh](https://modelscope.cn/models/AI-ModelScope/bge-large-zh/summary) - [gte_sentence-embedding_multilingual-base](https://modelscope.cn/models/iic/gte_sentence-embedding_multilingual-base/summary) </details>", Assign "at most 3 tags" to the expected json: {"id":"6241","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"