Best free open-source LLM training and fine-tuning tools

Apache Superset is a Data Visualization and Data Exploration Platform

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT)

Fully open reproduction of DeepSeek-R1

verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework

Database diagrams editor that allows you to visualize and design your DB with a single query.

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Train transformer language models with reinforcement learning.

The most scalable and reliable MQTT broker for AI, IoT, IIoT and connected vehicles

Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM5.3, Gemma4, Llava, Phi4

High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.

A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval

Enjoy the magic of Diffusion models!

Minimal reproduction of DeepSeek R1-Zero

Go ahead and axolotl questions

Always know what to expect from your data.

Low-code framework for building custom LLMs, neural networks, and other AI models

Accessible large language models via k-bit quantization for PyTorch.

The official firmware for Meshtastic, an open-source, off-grid mesh communication system.

The cryptography-based networking stack for building unstoppable networks with LoRa, Packet Radio, WiFi and everything in between.

English(./README.md) / 日本語(./README-ja.md)

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

Business intelligence as code: build fast, interactive data visualizations in SQL and markdown

SD-Trainer. LoRA & Dreambooth training scripts & GUI use kohya-ss's trainer, for diffusion model.

A PyTorch native platform for training generative AI models

PyTorch native post-training library

High Performance Open Source Radio Control Link

Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.

The open source research environment for AI researchers to seamlessly train, evaluate, and scale models from local hardware to GPU clusters.

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

📢 Announcement: The training pipeline in this repository is now considered legacy. For the latest training pipeline with support for LLaVA-OneVision and LLaVA-OneVision-2, please refer to lmms-engine

Align Anything: Training All-modality Model with Feedback

⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultr

中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

MQTT gateway for ESP8266 or ESP32 with bidirectional 433mhz/315mhz/868mhz, Infrared communications, BLE, Bluetooth, beacons detection, mi flora, mi jia, LYWSD02, LYWSD03MMC, Mi Scale, TPMS, BBQ thermo

[ICLR2025 Spotlight] SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Synthetic data generation for tabular data

🦞 Just talk to your agent — it learns and EVOLVES 🧬.

An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models

Freeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.

OneTrainer is a one-stop solution for all your Diffusion training needs.

A general fine-tuning kit geared toward image/video/audio diffusion models.

Minimalistic large language model 3D-parallelism training

A Unified Library for Parameter-Efficient and Modular Transfer Learning

SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, and ONNX Runtime

streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL

Build, personalize and control your own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHX

IoT Platform Framework

Communicate Freely

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera

HRM-Text is a 1B text generation model based on the HRM architecture, strengthened by task completion and latent space reasoning.

Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models

Wifi & BLE driven passenger flow metering with cheap ESP32 boards

LXMF client for Android, Linux and macOS allowing you to communicate with people or LXMF-compatible systems over Reticulum networks using LoRa, Packet Radio, WiFi, I2P, or anything else Reticulum supp

Android application for Meshtastic

[ICLR 2025] CatVTON is a simple and efficient virtual try-on diffusion model with 1) Lightweight Network (899.06M parameters totally), 2) Parameter-Efficient Training (49.57M parameters trainable) and

Official implementation of MatterGen -- a generative model for inorganic materials design across the periodic table that can be fine-tuned to steer the generation towards a wide range of property cons

Cross-vendor 3D Gaussian Splatting trainer - video to splat to mesh, Vulkan or CUDA.

心理健康大模型 (LLM x Mental Health), Pre & Post-training & Dataset & Evaluation & Depoly & RAG, with InternLM / Qwen / Baichuan / DeepSeek / Mixtral / LLama / GLM series models