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FreeToken: Efficient Edge-Native MoE Serving with Bandwidth-Adaptive Execution research paper by UC Berkeley, 2026

UC Berkeley · Inference and efficiency · Aug 17, 2026 · 8 citations · 86 upvotes · unverified

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What it shows

FreeToken is an edge-native Mixture-of-Experts serving system that dynamically maps computation and model state onto heterogeneous local hardware to run large open-weight models on personal machines.

By Shuo Yang, Xiaoze Fan, Melissa Pan and 8 more · arXiv 2608.16157 · PDF · Code

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Venue
arXiv.org
Citations
8, 3 influential · Semantic Scholar
Upvotes
86 · Hugging Face
Lab
UC Berkeley

Changes

CitationsNov 9, 2026Influential citations rose from 2 to 3.
CitationsNov 9, 2026Citations rose from 7 to 8.
CitationsNov 2, 2026Influential citations rose from 0 to 2.
CitationsNov 2, 2026Citations rose from 3 to 7.
CitationsOct 12, 2026Citations rose from 2 to 3.
CitationsSep 25, 2026A first count of 0 influential citations.
CitationsSep 25, 2026A first count of 2 citations.
New paperSep 25, 2026Found by the weekly Hugging Face scan; not yet checked by hand.