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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.

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Platforms: WebAPI
Region
Overseas
Pricing
Free
Open source
Yes
GitHub Stars
★ 9.4k
Views
1
Source
GitHub
Added
2026-10-02
Last verified
2026-10-02
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

AI model fine-tuningMultimodal model trainingModel evaluation and deploymentTool calling and environment simulation

Pros

  • +Feature-rich
  • +Easy to use
  • +Supports multiple models
  • +Active community

Limitations / notes

  • -Requires some technical background
  • -Higher learning curve

Who it's for

DevelopersData scientistsAI researchersEnterprise teams

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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