Run LLM inference with llama.cpp on CPU, Apple Silicon, AMD/Intel GPUs, or NVIDIA — plus GGUF model conversion and quantization (2–8 bit with K-quants and imatrix). Covers CLI, Python bindings, OpenAI-compatible server, and Ollama/LM Studio integration. Use for edge deployment, M1/M2/M3/M4 Macs, CUDA-less environments, or flexible local quantization.
How to install llama-cpp?
moltis-org/moltis/llama-cpp
$npx -y skills add moltis-org/moltis --skill llama-cppInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/moltis-org/moltis" --skill "moltis-org/moltis/llama-cpp"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/moltis-org/moltis" that are relevant to the current task. Run `npx skills add "https://github.com/moltis-org/moltis"` and select the relevant skills, then follow their instructions.
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