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Tag: 模型压缩 (1 articles)

Making Knowledge Distillation Cheap Enough to Run at Scale

Multiverse Computing introduces a memory-efficient knowledge distillation technique that uses cached top-K logits and a fused chunked KL loss to train on long contexts with just a single GPU, drastically reducing costs.

Hugging Face Blog · Aug 10, 2026