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transformers vs LlamaFactory

Gemma rivals. Both tagged gemma, deepseek. Six rounds of real GitHub data, an AI referee, and the crowd picks a side.

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huggingface/transformers: 168,811 stars, Python. 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models,…
hiyouga/LlamaFactory: 75,996 stars, Python. Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

transformers vs LlamaFactory: tale of the tape

GitHub data as of November 11, 2026

transformers has 2.2 times as many GitHub stars as LlamaFactory (168,811 vs 75,996). In the last 6 days, transformers gained more stars: +243 (+0.1%) against +94 (+0.1%) for LlamaFactory. transformers saw more development in the last 52 weeks with 4,727 commits, against 286 for LlamaFactory. transformers is the older project (created October 2018), LlamaFactory started in May 2023. Both are written mainly in Python.

huggingface/transformershiyouga/LlamaFactory
Stars168,81175,996
Stars gained, last 6 days+243+94
Growth, last 6 days+0.1%+0.1%
Avg. stars per day since creation5860
Forks35,1879,363
Commits, last 52 weeks4,727286
Open issues1,0731,233
Best Repocharts rank today#13 in Python#39 in AI
LanguagePythonPython
LicenseApache-2.0Apache-2.0
CreatedOct 29, 2018May 28, 2023
Last pushNov 11, 2026Nov 11, 2026

Quick answers

Which is more popular, transformers or LlamaFactory?

transformers has 2.2 times as many GitHub stars as LlamaFactory (168,811 vs 75,996) (Repocharts data as of November 11, 2026).

Which is growing faster, transformers or LlamaFactory?

In the last 6 days, transformers gained more stars: +243 (+0.1%) against +94 (+0.1%) for LlamaFactory.

Which is more actively developed?

transformers saw more development in the last 52 weeks with 4,727 commits, against 286 for LlamaFactory.

What languages are transformers and LlamaFactory written in?

Both are written mainly in Python.

How does RepoClash compare transformers and LlamaFactory?

RepoClash scores both repositories in six rounds (popularity, momentum, activity, community, maintenance and freshness) from public GitHub data, adds an AI referee's verdict and lets developers vote for their favorite. Star counts are updated daily.

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