LM Studio

LM Studio is a desktop application for discovering, downloading, and running open-source large language models locally, providing a graphical interface for local model management that makes the experience of running LLMs on your own hardware accessible without terminal commands or Python environment configuration. Where Ollama requires command-line usage, LM Studio gives you a point-and-click model catalog: browse available models filtered by size and quantization level, download with one click, and start a conversation in the built-in chat interface immediately. The local server exposes an OpenAI-compatible API at localhost, enabling any application built for OpenAI to use a local model by changing one endpoint URL, all inference happens on your hardware with zero network requests after the initial download.

LM Studio supports GPU acceleration automatically on Apple Silicon (Metal), NVIDIA (CUDA), and AMD (ROCm) hardware, with CPU fallback for machines without discrete GPU. The model library covers all major open-weight families: Llama 4, Gemma 3, Mistral, Phi-4, Qwen 3, DeepSeek, and hundreds of community fine-tunes. Multi-model serving allows different models to handle different tasks simultaneously.

Used by developers prototyping with privacy requirements, researchers comparing model families, teams working in air-gapped environments, and anyone who wants the ChatGPT experience running entirely on their own hardware at zero per-token cost.