LM Studio is a platform for running modern LLMs locally on your own computer, without sending data to the cloud. It supports models like gpt-oss, Llama, Gemma, Qwen, DeepSeek, and moreβhelping you keep full control over your data and compute.
Local models and privacy
LM Studio is built for people who need confidentiality and independence from external servers. Prompts and responses are processed on-device, which is useful for:
- Developers building internal tools
- Companies working with sensitive data
- Researchers who canβt rely on cloud access
Developer tools and integrations
LM Studio includes tooling that makes local models easier to integrate into existing apps and backends:
- OpenAI-compatible API interface
- JavaScript SDK
- Python SDK
- lms CLI tool
Cross-platform performance
LM Studio is optimized for modern Macs with M-series chips and supports Apple MLX models. This helps deliver fast, stable text generation without relying on subscriptions or external services.
Home and work use
LM Studio is free for home and work use, making it a practical option for solo developers and small teams experimenting with local LLM workflows and building custom AI solutions.


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