Tag: Quantization
5 articles
AI Research 42 - Multimodal Large Model Quantization: From FP32 to INT4, the Final Summary
Survey outline for multimodal large model quantization schemes: from FP32 to INT4. Core goal is model capability retention, compression efficiency 50-75%...
AI Research 39 - Multimodal Large Model Quantization: How Fine-Tuning and Quantization Maximize Performance
In multimodal large model optimization, the order choice of fine-tuning and quantization directly affects the final model's performance and efficiency.
AI Research 38 - Multimodal Large Model Quantization: Evaluation Strategies for Mainstream Vision-Language Tasks
To systematically evaluate the impact of model quantization on performance, need to combine multiple vision-language datasets and metrics.
AI Research 37 - Multimodal Large Model Quantization: Impact on Vision, Language and Multimodal Tasks
Model quantization compresses FP32 weights into low-precision representations, significantly reducing inference resource consumption.
AI Research 36 - Comprehensive Analysis of Multimodal Large Model Quantization
This comprehensive overview systematically introduces mainstream quantization techniques in multimodal models.