# Config LLamaSharp BotSharp contains LLamaSharp plugin that allows you to run local llm models. To use the LLamaSharp, you need to config the BotSharp project with few steps. ## Install LLamaSharp Backend Before use LLamaSharp plugin, you need to install one of the LLamaSharp backend services that suits your environment. - [`LLamaSharp.Backend.Cpu`](https://www.nuget.org/packages/LLamaSharp.Backend.Cpu): Pure CPU for Windows & Linux. Metal for Mac. - [`LLamaSharp.Backend.Cuda11`](https://www.nuget.org/packages/LLamaSharp.Backend.Cuda11): CUDA 11 for Windows and Linux - [`LLamaSharp.Backend.Cuda12`](https://www.nuget.org/packages/LLamaSharp.Backend.Cuda12): CUDA 12 for Windows and Linux **Please install the same version of LLamaSharp Backend with the LLamaSharp in BotSharp.Plugin.LLamaSharp.csproj.** ![Check LLamaSharp Version](assets/check-llamasharp-version.png) ```shell # move to the LLamaSharp Plugin Project $ cd src/Plugins/BotSharp.Plugin.LLamaSharp # Install the LLamaSharp Backend $ dotnet add package LLamaSharp.Backend.Cpu --version 0.9.1 ``` ## Download and Config Local LLM Models LLamaSharp supports many LLM Models like LLaMA and Alpaca. Download the `gguf` format models and save them in your machine. We will use a [Llama 2](https://huggingface.co/TheBloke/llama-2-7B-Guanaco-QLoRA-GGUF) model in this tutorial. After downloading the model, open the `src/WebStarter/appsettings.json` file to config the LLamaSharp models. Set the `LlmProviders` and `LlamaSharp` fields to correct settings as your computer. For example: ```json { ..., "LlmProviders": [ ..., { "Provider": "llama-sharp", "Models": [ { "Name": "llama-2-7b.Q2_K.gguf", "Type": "chat" } ] }, ... ], ..., "LlamaSharp": { "Interactive": true, "ModelDir": "/Users/wenwei/Desktop/LLM", "DefaultModel": "llama-2-7b.Q2_K.gguf", "MaxContextLength": 1024, "NumberOfGpuLayer": 20 }, ... } ``` For more details about LLamaSharp, visit [LLamaSharp - GitHub](https://github.com/SciSharp/LLamaSharp).