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knowledge-distillation
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Compress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained performance, transferring GPT-4 capabilities to open-source models, or reducing inference costs. Covers temperature scaling, soft targets, reverse KLD, logit distillation, and MiniLLM training strategies.
By TuYv schedule Updated 6/13/2026 Install via CLI
npx skills add https://github.com/TuYv/ccpm --skill knowledge-distillation
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