# bitnet > Microsoft BitNet - 1-bit LLM inference framework. - Author: root - Repository: Harry-00101/harry-clawd - Version: 20260207140001 - Stars: 0 - Forks: 0 - Last Updated: 2026-02-07 - Source: https://github.com/Harry-00101/harry-clawd - Web: https://mule.run/skillshub/@@Harry-00101/harry-clawd~bitnet:20260207140001 --- # BitNet Integration Skill Microsoft BitNet - 1-bit LLM inference framework. ## Features - 1.58-bit quantization - CPU inference (no GPU needed) - 2.37x - 6.17x speedup - 71-82% energy reduction ## Models - BitNet-b1.58-2B-4T (2.4B parameters) - Llama3-8B-1.58-100B-tokens (8B parameters) - bitnet_b1_58-3B (3.3B parameters) ## Usage ```bash # Install bitnet.cpp git clone https://github.com/microsoft/BitNet.git cd BitNet pip install -r requirements.txt python run.py --model microsoft/BitNet-b1.58-2B-4T ``` ## For Harry-001 - More efficient than Phi3 - Can run larger models locally - Lower resource usage