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Computed at Sep 11, 2026GitHub repo leaderboard by stars, growth rate and activity.
hiyouga
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Python74,699 starslast pushed 2 days agohuggingface
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Python21,652 starslast pushed 14 hours agomodelscope
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.6, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Gemma4, Llava, Phi4, ...) (AAAI 2025).
Python15,583 starslast pushed 11 hours agomymusise
基于ChatGLM-6B + LoRA的Fintune方案
Python3,739 starslast pushed 3 years agoFine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调
Python3,712 starslast pushed 3 years ago
| # | Repo | Language | Stars | 30-day trend | Last updated |
|---|---|---|---|---|---|
| 1 | hiyouga Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024) | Python | 74,699 | last pushed 2 days ago | |
| 2 | huggingface 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning. | Python | 21,652 | last pushed 14 hours ago | |
| 3 | modelscope Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.6, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Gemma4, Llava, Phi4, ...) (AAAI 2025). | Python | 15,583 | last pushed 11 hours ago | |
| 4 | mymusise 基于ChatGLM-6B + LoRA的Fintune方案 | Python | 3,739 | last pushed 3 years ago | |
| 5 | hiyouga Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调 | Python | 3,712 | last pushed 3 years ago |
All · 11,658