Tag: 量化
5 articles
AI Research 42 - Multimodal Large Model Quantization: Fro...
Survey outline for multimodal large model quantization schemes: from FP32 to INT4. Core goal is model capability retention, compression efficiency 50-75%, inference speedup 2-4x. Analyze comparison...
AI Research 39 - Multimodal Large Model Quantization: How...
In multimodal large model optimization, the order choice of fine-tuning and quantization directly affects the final model's performance and efficiency. There are three main strategies: fine-tune fi...
AI Research 38 - Multimodal Large Model Quantization: Ana...
To systematically evaluate the impact of model quantization on performance, need to combine multiple vision-language datasets and metrics. Commonly used datasets include Flickr30k and MS COCO, usin...
AI Research 37 - Multimodal Large Model Quantization: Imp...
Model quantization compresses FP32 weights into low-precision representations, significantly reducing inference resource consumption. Experiments show quantized models have 60% lower latency and 70...
AI Research 36 - Comprehensive Analysis of Multimodal Lar...
This comprehensive overview systematically introduces mainstream quantization techniques in multimodal models, including principles and practices of...