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Unified Efficient Fine-Tuning of 100+ LLMs
pyproject.toml:8
Scanned repository says: Unified Efficient Fine-Tuning of 100+ LLMs
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Unified Efficient Fine-Tuning of 100+ LLMs
pyproject.toml:8Various models: LLaMA, LLaVA, Mistral, Mixtral-MoE, Qwen3, Qwen3-VL, DeepSeek, Gemma, GLM, Phi, etc.
README.md:105For the "base" models, the template argument can be chosen from default, alpaca, vicuna etc. But make sure to use the corresponding template for the "instruct/chat" models.
README.md:344Integrated methods: (Continuous) pre-training, (multimodal) supervised fine-tuning, reward modeling, PPO, DPO, KTO, ORPO, etc.
README.md:106Scalable resources: 16-bit full-tuning, freeze-tuning, LoRA and 2/3/4/5/6/8-bit QLoRA via AQLM/AWQ/GPTQ/LLM.int8/HQQ/EETQ.
README.md:107Installation is mandatory.
README.md:521Manifest declares Python >=3.11.0 as a requirement.
pyproject.toml:11Declares a dependency on torch.
pyproject.toml:40Use the following 3 commands to run LoRA fine-tuning, inference and merging of the Qwen3-4B-Instruct model, respectively.
README.md:677Declares a dependency on torchvision.
pyproject.toml:41Declares a dependency on torchaudio.
pyproject.toml:42Declares a dependency on transformers.
pyproject.toml:43Declares a dependency on datasets.
pyproject.toml:44Declares a dependency on accelerate.
pyproject.toml:45A license or copying file is present; its terms have not been reviewed.
LICENSE:1These are references in selected source files, not proof that a feature works at runtime.
Read from commit 1fded91 at Oct 12, 2026, 5:13 AM UTC. Source links open that exact commit. Repository statements are unreviewed and do not affect the score.
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Dependencies: no lockfile or exact version pins at the repository root, so no advisory check was possible.
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