LM Studio
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About
LM Studio lets you download and run Llama, DeepSeek, Mistral, Phi on your computer. It provides a beginner-friendly interface with expert features. You can discover and download open source models, use them in chats, or run a local server. It offers a cross-platform local AI SDK to build local AI apps without dealing with dependencies (Python and Typescript). You can run LLMs offline, discover new LLMs, power apps using the local LLM server and chat with local documents (RAG).
Platform
Task
Features
• python sdk
• manage models
• typescript sdk
• cross-platform local ai sdk
• chat with documents (rag)
• local llm server
• discover open source models
• run llms locally
FAQs
Does LM Studio collect any data?
No. One of the main reasons for using a local LLM is privacy, and LM Studio is designed for that. Your data remains private and local to your machine. Visit the [Offline Operation](/docs/app/offline) page for more.
Are you hiring?
Yes! See our [careers page](/careers) for open positions.
What are the minimum hardware / software requirements?
LM Studio works on M1/M2/M3/M4 Macs, as well as Windows (x86 or ARM) and Linux PCs (x86) with a processor that supports AVX2. Visit the [System Requirements](/docs/app/system-requirements) page for the most up to date information.
What kind of models can I run?
You can run any compatible Large Language Model (LLM) from Hugging Face, both in `GGUF` (llama.cpp) format, as well as in the `MLX` format (Mac only). You can run `GGUF` text embedding models. Some models might not be supported, while others might be too large to run on your machine. Image generation models are not yet supported. See the [Model Catalog](/models) for featured models.
Is LM Studio open source?
The LM Studio GUI app is not open source. However LM Studio‘s CLI [lms](https://github.com/lmstudio-ai/lms), [Core SDK](https://github.com/lmstudio-ai/lmstudio-js), and our [MLX inferencing engine](https://github.com/lmstudio-ai/mlx-engine) are all MIT licensed and open source. Moreover, LM Studio makes it easy to use leading open source libraries such as [llama.cpp](https://github.com/ggml-org/llama.cpp) without needing the know-how to compile or integrate them yourself.
What is llama.cpp?
[llama.cpp](https://github.com/ggml-org/llama.cpp) is a fantastic open source library that provides a powerful and efficient way to run LLMs on edge devices. It was created and is led by Georgi Gerganov. LM Studio leverages llama.cpp to run LLMs on Windows, Linux, and Macs.
Can I use LM Studio at my company or organization?
Please fill out the [LM Studio @ Work](/work) request form and we will get back to you as soon as we can.
Pricing Plans
Job Opportunities
On-Device ML Engineer, Inferencing
LM Studio is a local AI toolkit to download and run Llama, DeepSeek, Mistral, Phi on your computer. It allows you to discover open source models, use them in chats, or run a local server.
Benefits:
Equity
Medical, Dental, Vision insurance
401K
Company provided MacBook Pro M3 / or high performance Windows/Linux laptop
Access to awesome hardware of all kinds
Experience Requirements:
2+ years experience implementing ML models using PyTorch, HF transformers, llama.cpp, or similar
2+ years in C++ and Python programming
Excellent communication and collaboration skills
Responsibilities:
Bring up new AI model architectures across LM Studio's integrated inferencing libraries and ship them to millions of users worldwide.
Collaborate with experts in the open-source community to make new model support available as soon as possible.
Leverage software engineering skills and excellent intuition to architect and implement extensible on-device ML software.
Work with LM Studio systems and app engineers to make the latest AI technologies useful and pliable through UIs and APIs.
Show more details
Senior React Engineer, LM Studio
LM Studio is a local AI toolkit to download and run Llama, DeepSeek, Mistral, Phi on your computer. It allows you to discover open source models, use them in chats, or run a local server.
Benefits:
Equity
Medical, Dental, Vision insurance
401K
Company provided MacBook Pro M3 / or high performance Windows/Linux laptop
Access to awesome hardware of all kinds
Experience Requirements:
3+ years experience building, rebuilding, and debugging apps in React & TypeScript
Experience with real time updating UIs
Deep understanding of React and JavaScript performance considerations
Excellent communication skills
Responsibilities:
Be a part of the LM Studio engineering team and ship graphical user interfaces for AI to millions of users worldwide.
Invent new ways to achieve user goals with intuitive and performant UI.
Leverage computer science and software engineering skills to make new user experiences with local AI not only possible but highly accessible to users with a wide range of backgrounds.
Push the boundaries of our technology and your own knowledge.
Show more details
Desktop App Engineer, LM Studio
LM Studio is a local AI toolkit to download and run Llama, DeepSeek, Mistral, Phi on your computer. It allows you to discover open source models, use them in chats, or run a local server.
Benefits:
Equity
Medical, Dental, Vision insurance
401K
Company provided MacBook Pro M3 / or high performance Windows/Linux laptop
Access to awesome hardware of all kinds
Experience Requirements:
3+ years experience with Node and TypeScript
Strong understanding of networking concepts and protocols
Strong understading of operating systems
Excellent problem-solving and communication skills
Responsibilities:
Design, implement, maintain new features in LM Studio
Design, implement, maintain new public and internal APIs
Extend, maintain, test LM Studio Core SDKs
Implement, debug, test Node daemon-level code
Implement, debug, test Node / Electron IPC code
Show more details
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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