Unsloth is an open-source toolkit that cuts training time and RAM usage by 50 % when fine-tuning large language, text-to-speech and diffusion models on consumer hardware or free Colab/Kaggle notebooks. Drop in your dataset, choose a quantization level and hit run—optimised CUDA kernels and automatic gradient checkpointing handle the rest. Export to GGUF, ONNX or Hugging Face in one click for immediate inference or sharing.
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