arxiv
PublishedJune 30, 2026 at 4:00 AM
LiftQuant: Continuous Bit-Width LLM via Dimensional Lifting and Projection
Publisher summary· verbatim
arXiv:2606.04050v2 Announce Type: replace-cross Abstract: Existing quantization methods are fundamentally limited by rigid, integer-based bit-widths (e.g., 2, 3-bit), resulting in a ``deployment gap" where Large Language Models cannot be optimally fitted to specific memory budgets. To bridge this ga
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivSvarna: An Open Corpus Workbench for Modern Greek1darxivPLURAL: A Global Dataset for Value Alignment1darxivValidating LLMs in social science: Epistemic threats and emerging norms1darxivHow Do I Know What to Say Next? Barenholtz's Autogenerative Theory as an Enrichment of Harrisean Integrationism1dThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗