llama-cpp
"Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10× speedup vs PyTorch on CPU."
Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security
Installation for Agentic Skill
View all platforms →skilz install zechenzhangAGI/AI-research-SKILLs/llama-cppskilz install zechenzhangAGI/AI-research-SKILLs/llama-cpp --agent opencodeskilz install zechenzhangAGI/AI-research-SKILLs/llama-cpp --agent codexskilz install zechenzhangAGI/AI-research-SKILLs/llama-cpp --agent geminiFirst time? Install Skilz: pip install skilz
Works with 22+ AI coding assistants
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Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/zechenzhangAGI/AI-research-SKILLscp -r AI-research-SKILLs/12-inference-serving/llama-cpp ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- zechenzhangAGI (GitHub)
- Repository
- AI-research-SKILLs
- Stars
- 62
- Forks
- 2
- Type
- Technical
- Meta-Domain
- data ai
- Primary Domain
- machine learning
- Market Score
- 26
Browse Category
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