AI Fundamentals
LLM
2:4 Sparse Llama: Smaller Models for Efficient GPU Inference
12/2/2024 • neuralmagic.com
Discover Sparse Llama: A 50% pruned, GPU-optimized Llama 3.1 model with 2:4 sparsity, enabling faster, cost-effective inference without sacrificing accuracy.
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It appears, by performing a kind of “synaptic pruning”, the removal of weak links between neurons to strengthen the rest, it is possible to shrink an LLM by 50% with only minimal performance losses.
Since size corresponds to operational cost and speed, the reduction yields significant efficiency gains.