Unsloth is a fine-tuning framework that optimizes LLM training speed and memory efficiency on consumer GPUs through specialized kernels for popular models like Llama 3, Mistral, and Gemma.
Fine-tune LLMs 2x faster with 70% less memory. Optimized kernels for Llama 3, Mistral, and Gemma on consumer GPUs. Runs free on Google Colab.
Unsloth holds a HookFlow heat score of 31/100 in AI Frameworks, currently showing cooling interest after an earlier surge. Its score has moved -18 points over the last 30 days. On the Lock-In Index it scores 100/100 (high lock-in, with significant switching cost).
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Unsloth fine-tunes LLMs 2x faster than standard implementations while using 70% less memory.
Unsloth has optimized kernels for Llama 3, Mistral, and Gemma models.
Yes, Unsloth is designed to run on consumer GPUs and works free on Google Colab.
Unsloth is free to use.
A.R.C. ratings are calculated for developer infrastructure and API-first tools. This tool hasn't been evaluated yet or falls outside the A.R.C. scope.
Lower = more portable. 0 = fully open, 100 = maximum lock-in.
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