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-bit/ternary LLMs, (3) benchmarking BitNet vs full-precision models, (4) building edge/agentic inference pipelines without GPU, (5) converting HuggingFace models to GGUF for bitnet.cpp. Triggers on: 'bitnet', '1-bit llm', '1.58-bit', 'ternary model', 'ternary weights', 'edge inference', 'cpu inference', 'bitnet.cpp', 'bitlinear', 'no gpu inference'.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryGeneralStars0
About this skill
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-bit/ternary LLMs, (3) benchmarking BitNet vs full-precision models, (4) building edge/agentic inference pipelines without GPU, (5) converting HuggingFace models to GGUF for bitnet.cpp. Triggers on: 'bitnet', '1-bit llm', '1.58-bit', 'ternary model', 'ternary weights', 'edge inference', 'cpu inference', 'bitnet.cpp', 'bitlinear', 'no gpu inference'.
Quick start
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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-bit/ternary LLMs, (3) benchmarking BitNet vs full-precision models, (4) building edge/agentic inference pipelines without GPU, (5) converting HuggingFace models to GGUF for bitnet.cpp. Triggers on: 'bitnet', '1-bit llm', '1.58-bit', 'ternary model', 'ternary weights', 'edge inference', 'cpu inference', 'bitnet.cpp', 'bitlinear', 'no gpu inference'.
About this listing
Category
General
Reported license
MIT
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLI