Jul 15, 01:53 PM

Advancements in LLMs: FP8 Quantization, 2x Latency Reduction, and New NVIDIA Models

Recent advancements in large language models (LLMs) have focused on optimizing performance and efficiency. Neural Magic and Anyscale Compute have contributed FP8 quantization support to the vLLM project, achieving over 99% accuracy preservation and reducing latency on NVIDIA GPUs by 2x, along with a 3x boost in throughput. Additionally, NVIDIA's new Mistral-7B, Mixtral-8x7B, and Mixtral-8x22B models are now available, offering optimized AI inference. Techniques for enhancing LLMs on CPUs and efficient deployment of large-scale transformer models are also being explored. High Mixtral 8x7B performance has been achieved with NVIDIA H100 Tensor Core GPUs and TensorRT-LLM.

#Neural Magic #Anyscale Compute #NVIDIA #Mistral #Mixtral

Written with ChatGPT (GPT-4o).