Train your own Decision Model with Unsloth | Unsloth Documentation
Fine-tune LLMs like Qwen and Gemma to make decisions with calibrated probabilities.
Summary
Unsloth is an open-source Python framework that enables fast, memory-efficient fine-tuning and reinforcement learning for major LLMsāincluding Llama, Mistral, Gemma, Qwen, and DeepSeekāon consumer hardware and platforms like Google Colab and Kaggle.
It supports full, 4-bit, 8-bit, and 16-bit training, is highly customizable for tasks like vision, speech, and text, and integrates with popular inference engines such as Ollama and vLLM. Unslothās workflow covers model loading, quantizing, training, evaluation, saving, and exporting, with multi-GPU support coming soon.
