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News/Llama-Mobile: Efficient 2.7-Bit Quantization of VLMs
arxiv
PublishedOctober 5, 2026 at 4:00 AM

Llama-Mobile: Efficient 2.7-Bit Quantization of VLMs

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arXiv:2608.21134v2 Announce Type: replace-cross Abstract: Deploying vision-language models (VLMs) on mobile devices is challenging due to their significant memory and compute requirements. We present a framework for quantizing VLMs for efficient inference on resource-constrained hardware. Our approa

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