Total 3 skills · from GitHub & curated sets, updated daily
NousResearch/hermes-agent/optional-skills/mlops/inference/llama-cpp
llama.cpp local GGUF inference + HF Hub model discovery.
Orchestra-Research/AI-Research-SKILLs/12-inference-serving/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.
Orchestra-Research/AI-Research-SKILLs/10-optimization/gguf
GGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing flexible quantization from 2-8 bit without GPU requirements.