Resources

Official Resources

GitHub Repository

BitNet GitHub Repository - The official BitNet repository on GitHub. Here you can find:

• Source code
• Issue tracking
• Pull requests
• Releases
• Discussions

HuggingFace

BitNet models are available on HuggingFace:

• Microsoft on HuggingFace - BitNet models by Microsoft
• BitNet-b1.58-2B-4T-gguf - GGUF format model
• bitnet-b1.58-2B-4T-bf16 - BF16 format model
• 1bitLLM - Additional BitNet models
• TII UAE - Falcon3 models

Documentation

Getting Started

• Getting Started Guide - Quick introduction to BitNet
• Installation Guide - Complete setup instructions
• Usage Guide - How to use BitNet

Reference Documentation

• Documentation - Complete API reference
• Models Page - Available models
• Benchmark Guide - Performance testing
• Features Page - Detailed feature overview

Support

• FAQ - Frequently asked questions
• About Page - Learn about BitNet
• Contributing Guide - How to contribute

Community Resources

GitHub

• Repository - Source code and issues
• Issues - Report bugs and request features
• Pull Requests - Submit contributions
• Discussions - Community discussions
• Code of Conduct - Community guidelines
• License - MIT License

Learning Resources

Concepts and Background

Understanding BitNet and 1-bit quantization:

• 1-bit Quantization: Learn about extreme quantization techniques
• Model Compression: Understanding model compression and quantization
• Efficient Inference: Optimizing LLM inference for resource-constrained environments
• Large Language Models: Understanding LLM architectures and training

Tutorials and Guides

• Getting Started Tutorial - Step-by-step introduction
• Usage Examples - Practical usage examples
• Benchmarking Guide - How to measure performance

Related Projects

llama.cpp

BitNet uses llama.cpp as its inference backend. Learn more about llama.cpp:

• llama.cpp GitHub - The inference framework

Other Quantization Projects

• AWQ: Activation-aware Weight Quantization
• GPTQ: GPT Quantization
• QLoRA: Quantized Low-Rank Adaptation

Tools and Utilities

Model Conversion

• Conversion Guide - Converting models from .safetensors to GGUF

Benchmarking

• Benchmark Tools - Performance measurement utilities

Publications and Research

BitNet is based on research in model quantization and efficient inference. For more information:

• Check the BitNet GitHub repository for research papers and citations
• Look for papers on 1-bit quantization and efficient LLM inference
• Research on model compression and quantization techniques

Support and Help

Getting Help

• FAQ - Common questions and answers
• Documentation - Comprehensive documentation
• GitHub Issues - Report bugs and ask questions
• GitHub Discussions - Community discussions

Contributing

• Contributing Guide - How to contribute to BitNet
• Pull Requests - Submit your contributions
• Code of Conduct - Community guidelines

Quick Links