Optimizing Vision-Language Models for Production: A Deep Dive into Quantization and Pruning
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I benchmarked popular Vision-Language Models (VLMs) like LLaVA, Qwen-VL, and PaliGemma to see how they handle quantization and pruning. The takeaway: 4-bit quantization is a no-brainer for most use cases, offering massive memory savings with minimal quality loss. Here’s what I learned about VLM size reduction.
