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unsloth python unsloth python python FOLDER --outfile OUTPUT --outtype f16 Or follow the steps at llama-cpp-conversions
unsloth : The ART frontend is has minimal dependencies and can be easily added to existing Python codebases Train from anywhere: You can run the
pip install unsloth To install Unsloth locally on Conda, follow the steps below Only use Conda if you have it If not, use Pip Select either pytorch-cuda=, for CUDA
pypi unsloth Discover how to fine-tune LLMs at blazing speeds on Windows and Linux! If you've been jealous of MLX's performance on Mac, Unsloth is the
Add to wish listunsloth pythonunsloth python ✅ Unsloth doesn't find to convert fine-tuned LLM to GGUF unsloth python,python FOLDER --outfile OUTPUT --outtype f16 Or follow the steps at llama-cpp-conversions&emspUnsloth also now supports fine-tuning and Reinforcement Learning of Qwen3 and Qwen3 MOE models — 2x faster, with 70% less VRAM, and 8x