oumi
Oumi is a tool for fine-tuning, evaluating, and deploying open-source large language models (LLMs) and vision-language models (VLMs) such as Qwen and Gemma.
- Region
- Overseas
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 9.4k
- Views
- 1
- Source
- GitHub
- Added
- 2026-10-02
- Last verified
- 2026-10-02
- GitHub
- github.com/oumi-ai/oumi

Overview
Oumi is a powerful tool designed to help developers easily fine-tune, evaluate, and deploy open-source LLMs or VLMs like Qwen, Gemma, or any other accessible large model. It supports multiple fine-tuning methods (e.g., SFT/RL) and provides extensive environment and tooling support. Oumi also integrates an MCP server, supports integration with Claude/Cursor, and enables rapid model deployment via CLI commands. Whether you're a beginner or an experienced developer, Oumi empowers you to build and optimize your own AI models.
Key features
- ▪Supports multiple fine-tuning methods (SFT/RL)
- ▪Integrates MCP server
- ▪Provides rich environment and tooling support
- ▪Supports multiple model families (Qwen, Gemma)
Use cases
Pros
- +Feature-rich
- +Easy to use
- +Supports multiple models
- +Active community
Limitations / notes
- -Requires some technical background
- -Higher learning curve
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
Is it free?
Yes, Oumi is an open-source project and can be used free of charge.
Do I need scientific internet access?
No, but accessing certain resources may require network connectivity.
Does it support Chinese?
Main documentation is in English, but Chinese models are supported.
Can it be used commercially?
Yes, Oumi is licensed under the Apache 2.0 license.
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