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hiyouga/LlamaFactory

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Python73.7k starsOtherView on GitHub

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Total stars

73.7k

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Why we are watching

Fine-tuning and adapting open-weight models on hardware you control, with the efficiency methods (LoRA/QLoRA, quantised training) that decide whether that is possible on one GPU or needs a datacentre. That is the efficiency-and-open-weights half of the theme: it produces a checkpoint you hold, rather than a fine-tune that lives inside a provider's account.

Measured as of August 6, 2026.