Abstract: This study systematically investigates how quantization, a key technique for the efficient deployment of large language models (LLMs), affects model safety. We specifically focus on ...

Abstract: The growing adoption of multilingual sequence-to-sequence transformer models has significantly advanced neural machine translation (NMT), enabling support for hundreds of language pairs.

Multiple models at different quantization levels have same model api identifier. I am using lmstudio for running benchmarks. I have multiple models with same model and different quantization. There is ...

We study the perceptual problem related to image quantization from an optimization point of view, using different metrics on the color space. A consequence of the results presented is that ...

The Llama 3.1 70Bmodel, with its staggering 70 billion parameters, represents a significant milestone in the advancement of AI model performance. This model’s sophisticated capabilities and potential ...