🧠 #NVIDIA researchers are advancing SLMs through structured weight pruning and knowledge distillation, cutting down model size while preserving performance.
For instance, #Minitron 8B and 4B models, derived from Nemotron 15B, outperform many models trained from scratch. Despite its size, it competes with top-tier models like #Gemma2 and #Phi2.
How to Prune and Distill Llama-3.1 8B to an NVIDIA Llama-3.1-Minitron 4B Model | NVIDIA Technical Blog
Large language models (LLM) are now a dominant force in natural language processing and understanding, thanks to their effectiveness and versatility. LLMs such as Llama 3.1 405B and NVIDIA Nemotron-4…

