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unsloth pypi
Unsloth Notebooks Unsloth Documentation
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Unsloth can be used to do 2x faster training and 60% less memory than standard fine-tuning on single GPU setups It uses a technique called Quantized Low Rank
Unsloth model catalog for all our Dynamic GGUF, 4-bit, 16-bit models on Hugging Face GGUFs let you run models in tools like Ollama, Open WebUI, and Integrates Unsloth for accelerating training using optimized kernels Command Line Interface : A simple interface lets you fine-tune with models
65bet slot Unsloth Notebooks Explore our catalog of Unsloth notebooks: Also see our GitHub repo for our notebooks: unslothainotebooks Unsloth now supports 89K context for Meta's Llama on a 80GB GPU
