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

Unsloth

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

Kiln

One‑click desktop suite for building AI systems.

Axolotl

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

H2O LLM Studio

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

Oumi

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

Kubeflow Trainer

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

PEFT

Efficiently fine-tune large models with minimal parameters

LLaMA-Factory

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

OneTrainer

Comprehensive UI and CLI for training diffusion models

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