Home/Compare/LlamaFactory vs oumi

Comparison

LlamaFactory vs oumi

Verdict

Pick LlamaFactory when tags unique to LlamaFactory: gemma, deepseek, ai, instruction-tuning; pick oumi when tags unique to oumi: gpt-oss-120b, llama, evaluation, dpo.

Markdown twin · LlamaFactory alternatives · oumi alternatives

GraphCanon updated today

LlamaFactory logo

LlamaFactory

hiyouga/LlamaFactory

73kpushed Jul 10, 2026
vs
oumi logo

oumi

oumi-ai/oumi

9.3kpushed Jul 11, 2026

Trust & integrity

SignalLlamaFactoryoumi
Maintenance
Very active (0d since push)
As of today · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
oumi
Easily fine-tune, evaluate and deploy Gemma 4, Qwen3.5, Qwen3.6, gpt-oss, DeepSeek-R1, or any open source LLM / VLM!

Stars

LlamaFactory
73k
oumi
9.3k

Forks

LlamaFactory
8.9k
oumi
783

Open issues

LlamaFactory
1.1k
oumi
25

Language

LlamaFactory
Python
oumi
Python

Adopt for

LlamaFactory
LlamaFactory is a sophisticated tool for fine-tuning numerous large language models and visual language models efficiently using various methods such as LoRA, QLoRA, RLHF, and quantization.
oumi
-

Persona

LlamaFactory
-
oumi
-

Runtime

LlamaFactory
-
oumi
-

License

LlamaFactory
Apache-2.0
oumi
Apache-2.0

Last pushed

LlamaFactory
Jul 10, 2026
oumi
Jul 11, 2026

Categories

LlamaFactory
Model Training, LLM Frameworks
oumi
Model Training, LLM Frameworks, Inference & Serving

Trust and health

Open issues (now)

LlamaFactory
1.1k
oumi
25

Owner type

LlamaFactory
User
oumi
Organization

Full report

LlamaFactory
Trust report

Choose LlamaFactory if…

  • Tags unique to LlamaFactory: gemma, deepseek, ai, instruction-tuning.
  • When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
  • More GitHub stars (73k vs 9.3k) - visibility, not fit.

When NOT to use LlamaFactory

  • When you are looking to fine-tune less popular or niche models that are not supported within the 100+ models covered by LlamaFactory.
  • If your project specifically requires custom fine-tuning methods not available in this repository, such as certain versions of PEFT (Parameter Efficient Fine-Tuning) techniques excluding LoRA and QLoa

Choose oumi if…

  • Tags unique to oumi: gpt-oss-120b, llama, evaluation, dpo.
  • Also covers Inference & Serving.
  • More recently updated (last pushed Jul 11, 2026).

When NOT to use oumi

  • Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: LlamaFactory 73k · oumi 9.3k (synced Jul 11, 2026).

Common questions

What is the difference between LlamaFactory and oumi?
LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. oumi: Easily fine-tune, evaluate and deploy Gemma 4, Qwen3.5, Qwen3.6, gpt-oss, DeepSeek-R1, or any open source LLM / VLM!. See the comparison table for live GitHub stats and shared categories.
When should I choose LlamaFactory over oumi?
Choose LlamaFactory over oumi when Tags unique to LlamaFactory: gemma, deepseek, ai, instruction-tuning; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA; More GitHub stars (73k vs 9.3k) - visibility, not fit.
When should I choose oumi over LlamaFactory?
Choose oumi over LlamaFactory when Tags unique to oumi: gpt-oss-120b, llama, evaluation, dpo; Also covers Inference & Serving; More recently updated (last pushed Jul 11, 2026).
When should I avoid LlamaFactory?
When you are looking to fine-tune less popular or niche models that are not supported within the 100+ models covered by LlamaFactory. If your project specifically requires custom fine-tuning methods not available in this repository, such as certain versions of PEFT (Parameter Efficient Fine-Tuning) techniques excluding LoRA and QLoa
When should I avoid oumi?
Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
Is LlamaFactory or oumi more popular on GitHub?
LlamaFactory has more GitHub stars (73,157 vs 9,338). Stars measure visibility, not whether either tool fits your constraints.
Are LlamaFactory and oumi open source?
Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, oumi: Apache-2.0).
Where can I find alternatives to LlamaFactory or oumi?
GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and oumi alternatives (LlamaFactory markdown twin, oumi markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, LlamaFactory or oumi?
LlamaFactory: Very active. oumi: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for LlamaFactory and oumi?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; oumi trust report.