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DistillKit is a production-ready toolkit for knowledge distillation of large language models, supporting both online and offline workflows. It features advanced logit compression techniques (polynomial approximation + quantization + bit-packing) that enable efficient offline distillation at scale. The toolkit provides composable loss functions (KL, JSD, TVD, ranking losses, hidden state alignment) and integrates with Hugging Face Transformers, TRL, and Accelerate. It powers Arcee AI's distilled model releases and includes CLI tools for easy experimentation.
RATING:
MAINT: active
DRIFT: low
▸ 3 reusable components found
── end of results ──