Turbo Quant on weight x2 speed
https://preview.redd.it/hvkmfmp3mnsg1.png?width=1228 format=png auto=webp s=12e7bc31b08a734aec424b18ff17b4e517020ea6 Happy to announce TQ3_4S. 2x faster, better quality than TQ3_1S, same size. https://huggingface.co/YTan2000/Qwen3.5-27B-TQ3_4S Please note: on median PPL, Q3_K_S has slight edge. My next model has beaten Q3_K_S on medial but need more tweaking submitted by /u/Imaginary-Anywhere23 [link] [comments]
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Multimodal LLM Evaluation: A Developer s Guide to Multimodal Language Models
Production teams processing billions of product listings, such as Shopify, report that multimodal LLMs analyzing product images alongside metadata can match human-quality descriptions while scaling to millions of inferences daily. Meanwhile, Waymo’s research team demonstrates that multimodal LLMs processing camera feeds directly achieve competitive motion planning accuracy for autonomous vehicles. These deployments share one challenge: [ ] The post Multimodal LLM Evaluation: A Developer s Guide to Multimodal Language Models appeared first on Comet .
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Multimodal LLM Evaluation: A Developer s Guide to Multimodal Language Models
Production teams processing billions of product listings, such as Shopify, report that multimodal LLMs analyzing product images alongside metadata can match human-quality descriptions while scaling to millions of inferences daily. Meanwhile, Waymo’s research team demonstrates that multimodal LLMs processing camera feeds directly achieve competitive motion planning accuracy for autonomous vehicles. These deployments share one challenge: [ ] The post Multimodal LLM Evaluation: A Developer s Guide to Multimodal Language Models appeared first on Comet .






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