Best Open-source Model Training & Fine-Tuning Platforms tools

Kiln

One‑click desktop suite for building AI systems.

Axolotl

Fine‑tune LLMs fast with flexible, scalable open‑source framework

Kubeflow Trainer

Kubernetes-native platform for scalable LLM fine‑tuning and distributed training

Oumi

End-to-end platform for building, training, and deploying foundation models

Unsloth

Accelerate LLM fine‑tuning with up to 2× speed and 70% less VRAM

LLaMA-Factory

Zero-code fine-tuning platform for diverse large language models

OneTrainer

Comprehensive UI and CLI for training diffusion models

H2O LLM Studio

No-code GUI for fine-tuning large language models effortlessly

PEFT

Efficiently fine-tune large models with minimal parameters

xTuring

Fine‑tune, evaluate, and run private LLMs effortlessly

DataDreamer

Prompt, generate synthetic data, and train models efficiently

Lora

Rapid, lightweight fine-tuning for Stable Diffusion using LoRA