Author

Douglas Orr

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#computer vision Preprint Aug 2026

Llama-Mobile: Efficient 2.7-Bit Quantization of VLMs

This work presents a framework for quantizing VLMs for efficient inference on resource-constrained hardware, which combines a quantization pipeline that uses the model itself to generate training data and does not require access to the training setup, with a novel 2.7-bit-per-parameter format.

Luka Ribar, Jeevan Bhoot, Douglas Orr · 0 citations

#natural language process... Jul 2026

Studying quantization trade-offs for efficient inference deployment in machine translation

The experiments show that the trade-off between inference efficiency and translation quality depends not only on the quantization format, but also on the choice of text chunking strategy, as well as on the choice of text chunking strategy.

Jim Zhao, Sohir Maskey, Koen Oostermeijer et al. · arXiv.org · 0 citations