Just dropped: Aikido Security’s Altar‑1, a trimmed 328 GB version of GLM‑5.3. It’s an open‑weight, mixture‑of‑experts model, fine‑tuned for pentesting on NVIDIA H200. Curious how pruning packs power? Dive in! #Altar1 #GLM5_3 #ModelPruning

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Model Simplification — Discover the dark side of model simplification & its implications on AI development

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#Ai #MachineLearning #ModelPruning

TinyML Deployment: Quantization, Pruning & Memory Optimization for Microcontrollers

https://beefed.ai/en/tinyml-deployment-quantization-pruning-memory-optimization

#Tinyml #Quantization #ModelPruning #MicrocontrollerOptimization #Tflitemicro

HEAPr (Hessian-based Efficient Atomic Expert Pruning) trims MoE models by 20%‑25% and cuts FLOPs 20% using atomic expert scores, with two forward passes and one backward pass on a set. Read more: https://getnews.me/heapr-introduces-atomic-expert-pruning-for-efficient-llms/ #heapr #moe #modelpruning

TLDR; FuseGPT
Large Language Models are huge, to reduce their resource requirements an common approach is to prune uneccesary layers. However this is not without cost, it requires expensive retraining to retain lost performance.

#AI #LLM #GPT #ModelPruning