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Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
AirLLM 70B inference with single 4GB GPU
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调(全参数/Lora)、部署国内外开源大模型(LLM)/多模态大模型(MLLM)教程
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
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).
The official firmware for Meshtastic, an open-source, off-grid mesh communication system.
基于ChatGLM-6B + LoRA的Fintune方案
Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调
| # | Repo | Language | Stars | 30-day trend | Last updated |
|---|---|---|---|---|---|
| 1 | Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024) | Python | 74,699 | last pushed 2 days ago | |
| 2 | 🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠 | Python | 67,418 | last pushed 8 months ago | |
| 3 | AirLLM 70B inference with single 4GB GPU | Jupyter Notebook | 34,090 | last pushed 22 hours ago | |
| 4 | 《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调(全参数/Lora)、部署国内外开源大模型(LLM)/多模态大模型(MLLM)教程 | Jupyter Notebook | 32,138 | last pushed 2 weeks ago | |
| 5 | 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning. | Python | 21,652 | last pushed 14 hours ago | |
| 6 | 中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs) | Python | 18,941 | last pushed 5 months ago | |
| 7 | 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 | |
| 8 | The official firmware for Meshtastic, an open-source, off-grid mesh communication system. | C++ | 8,277 | last pushed 46 minutes ago | |
| 9 | 基于ChatGLM-6B + LoRA的Fintune方案 | Python | 3,739 | last pushed 3 years ago | |
| 10 | 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