aiself-hostedopenaillamagptgpt-4llmchatgptllamacppllama-cppgpt4alllocalaillama2llama-2code-llamacodellama UpdatedApr 23, 2024 TypeScript SciSharp/LLamaSharp Star3.2k A C#/.NET library to run LLM (🦙LLaMA/LLaVA) on your local device efficiently. ...
go binding for llama.cpp, offer low level and high level api gollamagptchatgptllamacppllama-cpp UpdatedJun 11, 2023 Go blav/llama_cpp_openai Star3 Lightweight implementation of the OpenAI open API on top of local models autogenopenai-apifunction-callsllama-cpp ...
Universal tool call support inllama-server:https://github.com/ggml-org/llama.cpp/pull/9639 Vim/Neovim plugin for FIM completions:https://github.com/ggml-org/llama.vim Introducing GGUF-my-LoRAhttps://github.com/ggml-org/llama.cpp/discussions/10123 ...
.github chore(deps): bump docker/setup-buildx-action from 3.9.0 to 3.10.0 Mar 6, 2025 examples Bump version to 0.1.107 [skip ci] May 4, 2025 llama-cpp-2 Bump version to 0.1.107 [skip ci] May 4, 2025 llama-cpp-sys-2
pip install llama-cpp-python \ --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/<cuda-version> Where<cuda-version>is one of the following: cu121: CUDA 12.1 cu122: CUDA 12.2 cu123: CUDA 12.3 For example, to install the CUDA 12.1 wheel: ...
从Github下载llama.cpp项目 git clone https://github.com/ggerganov/llama.cpp cd llama.cpp 编译,分为CPU和GPU # CPU,llama.cpp在根目录运行命令 make # GPU,llama.cpp在根目录运行命令 make LLAMA_CUDA=1 模型格式转换 新建conda虚拟环境 conda create -n llamacpp python==3.10 # llama.cpp在根目录运行...
Llama.cpp是用C/C++实现的用于部署LLM推理模型的开源框架,支持多种后端。主要是使用了作者开发的ggml这个库。关于ggml, 请参考之前的文章深入理解GGML。 Llama.cpp项目地址在https://github.com/ggerganov/llama.cpp,主要是支持llama系列的LLM。 这里引用项目中README中一段描述: ...
docker run -d -it --gpus all -p 8501:8501 -v PATH/TO/docs:/LlamaCpp_AllUNeed/docs --name alpaca-chat alpaca-chat sh 4. 進入 Docker 容器的終端 docker exec -it alpaca-chat sh 啟動Alpaca-2: Chat 文檔 streamlit run chat.py 啟動Alpaca-2: Retrieval QA 文檔 streamlit run qa.py ...
.github .husky bin ext lib test .clang-format .gitignore .rubocop.yml .yardopts CHANGELOG.md CODE_OF_CONDUCT.md Gemfile LICENSE.txt README.md Rakefile commitlint.config.js llama_cpp.gemspec package.json Latest commit yoshoku v0.18.2
git clone https://github.com/ggerganov/llama.cpp 接下来,打开一开始准备好的 w64devkit.exe 工具,在这里其路径为:C:\w64devkit\w64devkit.exe,它将打开一个单独的命令行窗口。此时,我们需要进入上一步中克隆下来的 llama.cpp 源代码目录。在本文示例中,其路径为: D:\Projects\llama.cpp。下面是对应的...