GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Oumi is a tool for fine-tuning, evaluating, and deploying open-source large language models (LLMs) such as Gemma 4, Qwen3.5, Qwen3.6, gpt-oss, DeepSeek-R1, among others.
Good fit when
- - You are working specifically with one of the supported open-source LLMs including Gemma 4 or Qwen variants.
- - Your project requires a dedicated tool that offers specific fine-tuning and evaluation functionalities for a wide range of language models.
Avoid when
- - If your focus is on proprietary models rather than open-source ones, Oumi may not offer the necessary support or integrations.
- - You require deployment flexibility beyond what Oumi provides for less commonly supported open-source LLMs outside its primary focus (e.g., Gemma 4, Qwen series).
- Requirements:
- Requires Docker; Docker is used for standardized and portable environment deployments.
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install oumiSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A comprehensive tool for the management and deployment of various open-source language models (LLMs) including Gemma 4, Qwen3.5, Qwen3.6, gpt-oss, DeepSeek-R1, among others.
Capability facts
- Languages
- python
Source: github.language · Sep 20, 2026
Categories
Tags
README
🚀 Getting Started Notebook Try in Colab Goal 🎯 Getting Started: A Tour <a target=" blank" href="https://colab.research.google.com/github/oumi ai/oumi/blob/main/notebooks/Oumi A Tour.ipynb" <img src="https://colab.research.google.com/assets/colab badge.svg" alt="Open In Colab"/...
For agents
This page has a .md twin and JSON over the API.