LLamaSharp 0.2.1

.NET 6.0 This package targets .NET 6.0. The package is compatible with this framework or higher. .NET Standard 2.0 This package targets .NET Standard 2.0. The package is compatible with this framework or higher.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package LLamaSharp --version 0.2.1
NuGet\Install-Package LLamaSharp -Version 0.2.1
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="LLamaSharp" Version="0.2.1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add LLamaSharp --version 0.2.1
#r "nuget: LLamaSharp, 0.2.1"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
// Install LLamaSharp as a Cake Addin
#addin nuget:?package=LLamaSharp&version=0.2.1

// Install LLamaSharp as a Cake Tool
#tool nuget:?package=LLamaSharp&version=0.2.1

LLamaSharp - .NET Bindings for llama.cpp

logo

The C#/.NET binding of llama.cpp. It provides APIs to inference the LLaMa Models and deploy it on native environment or Web. It works on both Windows and Linux and does NOT require compiling the library yourself.

  • Load and inference LLaMa models
  • Simple APIs for chat session
  • Quantize the model in C#/.NET
  • ASP.NET core integration
  • Native UI integration

Installation

Just search LLamaSharp in nuget package manager and install it!

PM> Install-Package LLamaSharp

Simple Benchmark

Currently it's only a simple benchmark to indicate that the performance of LLamaSharp is close to llama.cpp. Experiments run on a computer with Intel i7-12700, 3060Ti with 7B model. Note that the benchmark uses LLamaModel instead of LLamaModelV1.

Windows

  • llama.cpp: 2.98 words / second

  • LLamaSharp: 2.94 words / second

Usages

Currently, LLamaSharp provides two kinds of model, LLamaModelV1 and LLamaModel. Both of them works but LLamaModel is more recommended because it provides better alignment with the master branch of llama.cpp.

Besides, ChatSession makes it easier to wrap your own chat bot. The code below is a simple example. For all examples, please refer to Examples.


var model = new LLamaModel(new LLamaParams(model: "<Your path>", n_ctx: 512, repeat_penalty: 1.0f));
var session = new ChatSession<LLamaModel>(model).WithPromptFile("<Your prompt file path>")
                .WithAntiprompt(new string[] { "User:" );
Console.Write("\nUser:");
while (true)
{
    Console.ForegroundColor = ConsoleColor.Green;
    var question = Console.ReadLine();
    Console.ForegroundColor = ConsoleColor.White;
    var outputs = session.Chat(question); // It's simple to use the chat API.
    foreach (var output in outputs)
    {
        Console.Write(output);
    }
}

The following example shows how to quantize the model. With LLamaSharp you needn't to compile c++ project and run scripts to quantize the model, instead, just run it in C#.

string srcFilename = "<Your source path>";
string dstFilename = "<Your destination path>";
string ftype = "q4_0";
if(Quantizer.Quantize(srcFileName, dstFilename, ftype))
{
    Console.WriteLine("Quantization succeed!");
}
else
{
    Console.WriteLine("Quantization failed!");
}

Demo

demo-console

Roadmap

✅ LLaMa model inference.

✅ Embeddings generation.

✅ Chat session.

✅ Quantization

🔳 ASP.NET core Integration

🔳 WPF UI Integration

Assets

The model weights is too large to include in the project. However some resources could be found below:

The weights included in the magnet is exactly the weights from Facebook LLaMa.

The prompts could be found below:

License

This project is licensed under the terms of the MIT license.

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 is compatible.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
.NET Core netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 was computed. 
.NET Framework net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen40 was computed.  tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (7)

Showing the top 5 NuGet packages that depend on LLamaSharp:

Package Downloads
LangChain.Providers.LLamaSharp

LLamaSharp Chat model provider.
Microsoft.KernelMemory.AI.LlamaSharp The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org.

Provide access to OpenAI LLM models in Kernel Memory to generate text
LangChain.Providers.Automatic1111

Automatic1111 Stable DIffusion model provider.
LLamaSharp.semantic-kernel

The integration of LLamaSharp and Microsoft semantic-kernel.
BotSharp.Plugin.LLamaSharp

Package Description

GitHub repositories (4)

Showing the top 4 popular GitHub repositories that depend on LLamaSharp:

Repository Stars
SciSharp/BotSharp
The AI Agent Framework in .NET
microsoft/kernel-memory
Index and query any data using LLM and natural language, tracking sources and showing citations.
AIDotNet/AntSK
基于.Net8+AntBlazor+SemanticKernel 和KernelMemory 打造的AI知识库/智能体，支持本地离线AI大模型。可以不联网离线运行。
tryAGI/LangChain
C# implementation of LangChain. We try to be as close to the original as possible in terms of abstractions, but are open to new entities.
Version Downloads Last updated
0.12.0 243 5/12/2024
0.11.2 4,196 4/6/2024
0.11.1 723 3/31/2024
0.10.0 5,249 2/15/2024
0.9.1 6,170 1/6/2024
0.9.0 479 1/6/2024
0.8.1 13,110 11/28/2023
0.8.0 8,327 11/12/2023
0.7.0 1,673 10/31/2023
0.6.0 2,261 10/24/2023
0.5.1 5,858 9/5/2023
0.4.2-preview 1,762 8/6/2023
0.4.1-preview 1,180 6/21/2023
0.4.0 9,920 6/19/2023
0.3.0 8,563 5/22/2023
0.2.3 681 5/17/2023
0.2.2 610 5/17/2023
0.2.1 647 5/12/2023
0.2.0 755 5/12/2023

LLama 0.1.0 provides basic APIs to load and run models.