Bảng xếp hạng repo GitHub theo sao, tốc độ tăng trưởng và mức độ hoạt động.
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 | Ngôn ngữ | Sao | Xu hướng 30 ngày | Cập nhật lần cuối |
|---|---|---|---|---|---|
| 1 | Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024) | Python | 74.699 | push cuối 2 ngày trước | |
| 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 | push cuối 8 tháng trước | |
| 3 | AirLLM 70B inference with single 4GB GPU | Jupyter Notebook | 34.090 | push cuối 22 giờ trước | |
| 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 | push cuối 2 tuần trước | |
| 5 | 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning. | Python | 21.652 | push cuối 15 giờ trước | |
| 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 | push cuối 5 tháng trước | |
| 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 | push cuối 11 giờ trước | |
| 8 | The official firmware for Meshtastic, an open-source, off-grid mesh communication system. | C++ | 8.277 | push cuối 55 phút trước | |
| 9 | 基于ChatGLM-6B + LoRA的Fintune方案 | Python | 3.739 | push cuối 3 năm trước | |
| 10 | Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调 | Python | 3.712 | push cuối 3 năm trước |
Tất cả · 11.658