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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: NVIDIA (8GB VRAM (RTX 3060/3070, RTX 4060))

Beginnergguf
ollama + llama.cpp
Quant: Q4_K_M
7B models (Q4) run smoothly. 13B is challenging
GUIgguf
lm-studio + llama.cpp
Quant: Q4_K_M
Easy GUI. Simple model management
Powergguf, gptq
text-generation-webui + llama.cpp
Quant: Q4_K_M or GPTQ-4bit
For users who need fine-grained control
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-