uv-llama-cpp

What problem does it solve?

This Skill enables running large language models (LLMs) efficiently on a wide range of hardware, including CPUs, Apple Silicon, and non-NVIDIA GPUs, overcoming the limitations of traditional CUDA-dependent deployments.

Core Features & Use Cases

• Cross-Platform Inference: Deploy LLMs on Macs, Linux, Windows, and edge devices without requiring NVIDIA hardware.
• Optimized Performance: Leverages GGUF quantization for reduced memory footprint and significant speedups (4-10x faster than PyTorch on CPU).
• Use Case: Deploy a chatbot on a local machine with an M3 Mac or an AMD GPU, or run an LLM on a Raspberry Pi for an embedded application, all without needing expensive NVIDIA hardware.

Quick Start

Use the uv-llama-cpp skill to run interactive chat with the llama-2-7b-chat.Q4_K_M.gguf model.