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Local LLM Hub

Run LLMs on your own hardware. Find the right launcher, engine, and configuration for your setup.

NVIDIA-first. Mac-strong. Pick your GPU, get your stack.

Quick Start: CPU Only (16GB RAM)

Beginnergguf
ollama + llama.cpp
Quant: Q4_K_M
3B-7B models. Slow but works
GUIgguf
lm-studio + llama.cpp
Quant: Q4_K_M
Runs in CPU inference mode
4 local LLM tools
NameRoleBackendsFormatsScoreInstall
CUDA Runtime
NVIDIA's parallel computing platform for GPU acceleration
Backendcuda-🐧🪟
ROCm
AMD's open-source GPU computing platform
Backendrocm-🐧
Metal
Apple's GPU framework for Apple Silicon acceleration
Backendmetal-
Vulkan
Cross-platform GPU API for compute and graphics
Backendvulkan-