arxiv
PublishedNovember 10, 2026 at 5:00 AM
CodeQuant2: Enhanced Outlier Mitigation and Adaptive Clustering for Low-Precision LRMs
Publisher summary· verbatim
arXiv:2611.09868v1 Announce Type: new Abstract: Large reasoning models (LRMs) improve task performance by generating longer intermediate reasoning traces, but this substantially increases inference costs and makes low-precision quantization increasingly important. However, aggressively quantized mod
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Originally published on arxiv ↗