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LM Studio

Desktop GUI for running local LLMs.

FreemiumCPU-capableRuns locally
Actually FreeNo SignupWatermark-FreeHobbyist-FriendlyAPI
Visit LM StudioUpdated 2026-05-11 · Direct link

Hardware requirements

Runs locally · Mid GPU (12 GB)

CPU-capable
Min VRAM
None
Rec. VRAM
16 GB
Min RAM
16 GB
Rec. RAM
32 GB
Disk
50 GB
GPU class
Mid GPU
CUDAApple Silicon ✓CPU-CapableQuant: GGUF, MLX

M-series Macs with 32 GB unified are a sweet spot for 13–34B models.

Screenshot placeholder · LM Studio

What is LM Studio?

A polished desktop app for discovering, downloading, and chatting with local LLMs. Built on llama.cpp + MLX. Includes an OpenAI-compatible local server — drop-in for apps expecting OpenAI.

Pros & cons

Pros

  • Beautiful UI
  • Excellent Apple Silicon (MLX) support
  • Server mode is OpenAI-compatible

Cons

  • Closed source
  • Commercial use needs a license
  • Big binary

What's actually free?

Free for personal use. Commercial license required for business deployments.

✓ Actually FreeNo SignupWatermark-Free

Alternatives

Ollama

One-command local LLM runtime.

Open SourceCPU-capable
Actually FreeNo SignupOpen SourceWatermark-Free

Jan

Open-source ChatGPT desktop — runs models locally or via API.

Open SourceCPU-capable
Actually FreeNo SignupOpen SourceWatermark-Free

Text Generation WebUI

The "A1111 for LLMs" — multi-loader local chat UI.

Open Source 6–24 GB VRAM
Min VRAM
6 GB
GPU class
High-end GPU
Quant
GGUF
Actually FreeNo SignupOpen SourceWatermark-Free