Training & Fine-Tuning

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

Unsloth is a local UI for training and running Gemma 4, Qwen3.6, DeepSeek, Kimi, GLM and other models.

Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.

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

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

Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.

Go ahead and axolotl questions

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

Easily fine-tune, evaluate and deploy Gemma 4, Qwen3.5, Qwen3.6, gpt-oss, DeepSeek-R1, or any open source LLM / VLM!

Using Low-rank adaptation to quickly fine-tune diffusion models.

Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.

H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/