LM Studio
lastmod 2026-04-08created 2024-05-145 edits
A tool that makes it easy to run LLMs locally
Features
- Supports finding, downloading, and running LLMs locally and offline
- Models such as LLaMa, Falcon, MPT, StarCoder, GPT-Neo-X
- (e.g. Llama 2, Orca, Vicuna, Nous Hermes, WizardCoder, MPT, etc.).
- Apple Silicon Mac (M1/M2/M3) with macOS 13.6 or later
- Windows / Linux PC (processor that supports AVX2)
- 16GB+ RAM recommended. 6GB+ VRAM recommended on PC
- Supports NVIDIA/AMD GPUs
LM Studio privacy and usage
- LM Studio does not collect or monitor user data, and all data stays locally on the user's device
- Free for personal use; for work use, you need to contact the team
GN⁺'s opinion
- LM Studio is an attractive solution for privacy-conscious users, and the ability to run LLMs offline is the most important part.
- It is interesting that user data is stored only locally and that a wide range of models is supported, and it is beneficial that it is free for individual users.
- The hardware requirements are relatively high, making it suitable for users of recent devices, and it is positive that work use is being planned.
Hacker News comments
- Shared a link showing that the same thing can be done with open-source code using Ollama and a UI.
- Positive reviews of LM Studio and its features:
- Local model runtime
- Model catalog
- UI for easily chatting with models
- OpenAI-compatible API
- Includes plugins such as RAG (using ChromaDB)
- Well positioned to take advantage of new features in the OS ecosystem
- Unfortunately, LM Studio itself is not open source
- The default state of the chat box field needs improvement
- Unclear how to set CUDA acceleration before loading a model
- Some HuggingFace models are not listed and no reason is given
- Scrolling in the accordion parts of the interface responds only to the mouse wheel
- The server tab is very useful for initial debugging
See also
- LangChain
- LangFlow
- LLM
- llama
- Open WebUI
- LM Studio
- ollama - ease of use, support for many models, efficient resource management
- vLLM - high-performance inference, memory efficiency, large-scale batch processing
- LocalAI - supports many model types (text, speech, image)
- FastChat - supports many open-source models, provides a web UI
Favorite site
- LM Studio - Discover, download, and run local LLMs
- 🤗 How to quickly run🔥 and test open models published on #huggingface on a 💻 local PC + model serving🚀 + even applying them to work automation🤖! - YouTube
- Do you use open LLMs and coding assistants locally? Please share your setup | GeekNews
Articles
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