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finetuning-llms 开源项目推荐(486 个)
finetuning-llms 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 486 个仓库Create Custom LLMs
Official repository of my book "A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face"
Deploy any AI model, agent, database, RAG, and pipeline locally or remotely in minutes
End to End Generative AI Industry Projects on LLM Models with Deployment_Awesome LLM Projects
用于构建、部署和了解LLM代理的一站式手册,包含60多个框架、教程、生态系统指南和评估工具。
Train Large Language Models on MLX.
'afm' 命令 CLI:macOS 服务器和单提示符模式,通过一个聚合的 OpenAI 兼容 API 端点,暴露苹果的 Foundation 和 MLX 模型及其他 API,运行在你的 Mac 上。支持Apple Vision和单一命令(非服务器)推理,同时支持管道。现在有了网页浏览器和本地 AI API 聚合器
Enhancing LLMs with LoRA
IndexTTS Fine-tuning notebooks
Auto Data is a library designed for quick and effortless creation of datasets tailored for fine-tuning Large Language Models (LLMs).
🚀 Easy, open-source LLM finetuning with one-line commands, seamless cloud integration, and popular optimization frameworks. ✨
Vesta macOS Distribution - Official releases and downloads.Vesta AI Chat Assistant for macOS - Built with SwiftUI, Swift MLX and Apple Intelligence using Apple's on device model on MacOs Tahoe (MacOS 26). Now with side-by-side Qwen3-VL for vison
On Memorization of Large Language Models in Logical Reasoning
Fine-Tuning GPT-2 for Math Riddles Generation with Transformers and TRL 2026
Math Riddle Generation 2026: Fine-Tuned GPT-2 for Automated Puzzle Solving
A Streamlit app for generating high-quality Q&A training datasets from text and PDFs, leveraging Gemini, Claude, and OpenAI for LLM fine-tuning.
Fine-tuning Recipes for Apertus
A Gradio web UI for Large Language Models. Supports LoRA/QLoRA finetuning,RAG(Retrieval-augmented generation) and Chat
Fine-tune Mistral 7B to generate fashion style suggestions
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/finetuning-llms。
- 该话题在 GitHub 上共有 486 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 9003 Star,覆盖 4 种主要语言,数据更新于 2026-11-08。
- 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。