Pruning LLMs With Regional Gradients: Inside Wanda++ Large language models are hard to deploy because memory and latency balloon with scale. In Findings of the Association for Computational Linguistics: ACL 2025, Yifan Yang and colleagues from the Unive... AWQ Quantization Fine Tuning Large Language Models LLaMA Model Compression Model Pruning OpenLLaMA Regional Gradients Semi-Structured Sparsity Sparsity TensorRT Wanda++
FP4 Quantization Meets NVIDIA HGX B200: A New Era of Efficient AI AI technology is advancing at lightning speed, and the search for greater efficiency has led to a breakthrough: FP4 quantization . This 4-bit floating-point format, when combined with Lambda’s NVIDIA ... AI acceleration deep learning FP4 Lambda Cloud model optimization NVIDIA B200 quantization TensorRT