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cs.CV2026
Llama-Mobile: Efficient 2.7-Bit Quantization of VLMs
Luka Ribar, Jeevan Bhoot, Douglas Orr
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 ef…
cs.LG2026
A Practical Investigation of Training-free Relaxed Speculative Decoding
Guoxuan Xia, Luka Ribar, Paul Balanca
Speculative decoding accelerates sampling from an autoregressive LLM by using a faster auxiliary model to draft tokens which are then verified in parallel by the LLM. Standard spec…