2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Mamba-PTQ: Outlier Channels in Recurrent Large Language Models
Alessandro Pierro, Steven Abreu
Modern recurrent layers are emerging as a promising path toward edge deployment of foundation models, especially in the context of large language models (LLMs). Compressing the who…
cs.LG2024★ 2 cited
Q-S5: Towards Quantized State Space Models
Steven Abreu, Jens E. Pedersen, Kade M. Heckel +1
In the quest for next-generation sequence modeling architectures, State Space Models (SSMs) have emerged as a potent alternative to transformers, particularly for their computation…