LLamaSharp

LLamaSharp is a cross-platform C#/.NET library that enables local inference of LLaMA and other large language models by utilizing the llama.cpp backend.

LLamaSharp is a cross-platform C# library designed to run large language models on local devices. It operates by interfacing with native libraries compiled from C++, known as backends, specifically utilizing the llama.cpp framework to handle inference tasks. Developers use this library to deploy models like LLaMA within .NET applications, taking advantage of CPU, CUDA, Metal, or Vulkan hardware acceleration depending on their device configuration. The library provides higher-level APIs and supports Retrieval-Augmented Generation (RAG) to facilitate application development. It is compatible with various GGUF format model files and offers specific backend packages for Windows, Linux, and macOS.

LLamaSharp at a glance

Best for: Software engineer
Runs on: Windows, Linux, macOS
Pricing: Open source; MIT license.
Released: May 2023
Category: AI coding tool
Website: github.com/SciSharp/LLamaSharp

Key features

Cross-platform C#/.NET library support
Local inference for large language models
Backend support for CPU, CUDA, Metal, and Vulkan
Retrieval-Augmented Generation (RAG) capabilities
High-level APIs for model interaction
GGUF model format compatibility

Use it for

Building AI chatbot applications in .NET
Implementing local language model inference
Developing RAG-enabled software solutions

Alternatives to LLamaSharp

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LlamaFactory — Provides a code-free CLI and Web UI for training 100+ different LLMs.
BotSharp — Decoupled component design with advanced multi-agent abstraction for .NET applications.
LMDeploy — Accelerates inference with high-performance engines and quantization tools.

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