LLM Model Pruning and Knowledge Distillation with NVIDIA NeMo Framework – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-03T22:20:47Z http://www.open-lab.net/blog/feed/ Gomathy Venkata Krishnan <![CDATA[LLM Model Pruning and Knowledge Distillation with NVIDIA NeMo Framework]]> http://www.open-lab.net/blog/?p=93451 2025-04-23T02:53:00Z 2025-02-12T17:54:52Z Model pruning and knowledge distillation are powerful cost-effective strategies for obtaining smaller language models from an initial larger sibling. ...]]> Model pruning and knowledge distillation are powerful cost-effective strategies for obtaining smaller language models from an initial larger sibling. ...A larger and smaller cartoon llama on a sunny beach, wearing shirts that say 8B and 4B.

Model pruning and knowledge distillation are powerful cost-effective strategies for obtaining smaller language models from an initial larger sibling. The How to Prune and Distill Llama-3.1 8B to an NVIDIA Llama-3.1-Minitron 4B Model post discussed the best practices of using large language models (LLMs) that combine depth, width, attention, and MLP pruning with knowledge distillation��

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