Practical course about Large Language Models.
peft-fine-tuning-llm 开源项目推荐(204 个)
peft-fine-tuning-llm 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 204 个仓库Official repository of my book "A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face"
Repo for Qwen Image Finetune
[SIGIR'24] The official implementation code of MOELoRA.
An Efficient LLM Fine-Tuning Factory Optimized for MoE PEFT
Official implementation of "DoRA: Weight-Decomposed Low-Rank Adaptation"
【AIGC 实战入门笔记 —— AIGC 摩天大楼】分享 大语言模型(LLMs),大模型高效微调(SFT),检索增强生成(RAG),智能体(Agent),PPT自动生成, 角色扮演,文生图(Stable Diffusion) ,图像文字识别(OCR),语音识别(ASR),语音合成(TTS),人像分割(SA),多模态(VLM),Ai 换脸(Face Swapping), 文生视频(VD),图生视频(SVD),Ai 动作迁移,Ai 虚拟试衣,数字人,全模态理解(Omni),Ai音乐生成 干货学习 等 实战与经验。
Code for NOLA, an implementation of "nola: Compressing LoRA using Linear Combination of Random Basis"
[ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
Official code implemtation of paper AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?
CRE-LLM: A Domain-Specific Chinese Relation Extraction Framework with Fine-tuned Large Language Model
memory-efficient fine-tuning; support 24G GPU memory fine-tuning 7B
[ICML 2025] Fast and Low-Cost Genomic Foundation Models via Outlier Removal.
A no-code toolkit to finetune LLMs on your local GPU—just upload data, pick a task, and deploy later. Perfect for hackathons or prototyping, with automatic hardware detection and a guided React interface.
AI Community Tutorial, including: LoRA/Qlora LLM fine-tuning, Training GPT-2 from scratch, Generative Model Architecture, Content safety and control implementation, Model distillation techniques, Dreambooth techniques, Transfer learning, etc for practice with real project!
An ultra-lightweight neural machine translation model fine-tuned specifically for Persian-to-English tasks, leveraging efficient PEFT (LoRA) techniques to deliver strong performance while staying fast and highly resource-efficient for real-world deployment.
High Quality Image Generation Model - Powered with NVIDIA A100
A Python library for efficient and flexible cycle-consistency training of transformer models via iteratie back-translation. Memory and compute efficient techniques such as PEFT adapter switching allow for 7.5x larger models to be trained on the same hardware.
Mistral and Mixtral (MoE) from scratch
Addestra il tuo Mini Language Model!
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/peft-fine-tuning-llm。
- 该话题在 GitHub 上共有 204 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 3795 Star,覆盖 2 种主要语言,数据更新于 2026-11-12。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。