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bitnet

Microsoft BitNet — 1-bit LLM setup, inference, and benchmarking on CPU. Automates the full workflow: clone bitnet.cpp, create conda env, download GGUF models from HuggingFace, build optimized ternary kernels, and run inference. Supports official Microsoft models (2B) and community models (0.7B-10B). Use when: (1) setting up BitNet/bitnet.cpp for local CPU inference, (2) downloading and running 1-b

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Atualizado há 4 meses

Ver no GitHub ↗ Licença: MIT

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BitNet — 1-Bit LLM Operations

Set up and run Microsoft's BitNet (1.58-bit ternary LLMs) for efficient CPU inference. Models use weights of {-1, 0, +1} — no GPU required.

Quick Start

# Full setup in 5 commands
./scripts/install-bitnet.sh
./scripts/download-model.sh microsoft/BitNet-b1.58-2B-4T-gguf
./scripts/build-bitnet.sh
./scripts/run-inference.sh -p "You are a helpful assistant" -cnv

Or manually:

git clone --recursive https://github.com/microsoft/BitNet.git ~/Bit

[Description truncada. Veja o README completo no GitHub.]
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