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Oumi

Fine-Tuning 6.8/10 Solid

Easily fine-tune, evaluate and deploy Gemma 4, Qwen3.5, Qwen3.6, gpt-oss, DeepSeek-R1, or any open source LLM / VLM!

Oumi scores 6.8/10 (Solid) in Fine-Tuning.

Language Python License Apache-2.0 Stars 9.3k★ Type heavyweight Self-host Yes Repo oumi-ai/oumi Homepage https://oumi.ai

Quality

Solid 6.8
Adoption 49
Activity 75
Maturity 92
Community 48
Capability 50
Show the math
Overall 6.8/10
value = 6.8/10
score = value
Adoption 5.4/10
value = 49.3/100
score = 1 + 9 * value / 100
Activity 7.7/10
value = 74.9/100
score = 1 + 9 * value / 100
Maturity 9.2/10
value = 91.5/100
score = 1 + 9 * value / 100
Community 5.3/10
value = 48.2/100
score = 1 + 9 * value / 100
Capability 5.5/10
value = 50/100
score = 1 + 9 * value / 100

Key metrics

9.3k★ GitHub stars
128/90d Recent commits
18 devs/90d Recent contributors
2.2y Project age
active Last commit

Gotchas

No gotchas documented yet. Contribute one if you know a constraint we missed.

Labels

  • Self-hosted

    Self-hosted

    You deploy and operate it yourself; there is no hosted option here.

  • Heavyweight

    Heavyweight

    Resource-heavy to run (GPU, large memory, or multi-service stack).

platform fine-tuning grpo evaluation lifecycle