Faster, lower-memory fine-tuning of open LLMs
Unsloth is an open-source library that makes fine-tuning language models much faster and lighter on memory. It rewrites key operations by hand so you can train larger models on a single consumer GPU, or in a free Colab notebook.
Ready-made notebooks cover popular models, and it publishes optimized quantized versions of new releases quickly. Reinforcement-learning training is supported as well.
It is beloved by hobbyists and startups who cannot afford big clusters.
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