Fine Tuning GitHub Repositories (2026) · Open Source Tools

Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4.1, MiniMax-H3, Gemma 4, FLUX and more.

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

LlamaIndex is the document processing platform for AI

Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.

Go ahead and axolotl questions

Fizgig — LoRA & Fine-tune Studio for Klein 9B, Krea 2, MiniMax H3, Qwen Image 2.1, Anima & Z-Image Turbo and Ace-Step XL: train, fine-tune, profile, repair and extract LoRAs & LoKR for Image, Video & Music Models

Fast ML inference & training for ONNX models in Rust

A simple, performant, and scalable Jax LLM!

Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

OpenDeepWiki is the open-source version of the DeepWiki project, aiming to provide a powerful knowledge management and collaboration platform. The project is mainly developed using C# and TypeScript, supporting modular design, and is easy to expand and customize.

Ultrafast serverless GPU inference, sandboxes, and background jobs

A unified framework for easy fine-tuning in Flow-Matching models

The platform for continuously improving AI agents.

🏗️ Fine-tune, build, and deploy open-source LLMs easily!

Scalable data pre processing and curation toolkit for LLMs

A unified orchestration layer for heterogeneous AI compute. It standardizes how to manage compute and run training and inference on GPU clouds, Kubernetes, VMs, or bare-metal clusters.

RapidFire AI: Rapid AI Customization from RAG to Fine-Tuning

Universal Python SDK to run AI workloads on Kubernetes

Compile organizational policy into verifiable decision training data.

Train and serve LLMs at extreme speed and massive throughput.