Is MASQuant superseded?

MASQuant (LLM quantization): superseded — cited as a baseline and beaten by newer methods. 1 paper(s) critique it, 1 beat it on benchmarks — #41 of 80 most-superseded. Sub-problem: cluster led by GPTAQ. Newer alternatives in the same sub-problem include SplitQ, MARR, Quantization-aware Integrated Gradients (QIG), SPEED-Q, Quant-dLLM.

LLM quantization

MASQuant

Superseded baseline#41 of 80 most-superseded

Superseded — cited as a baseline and beaten by newer methods

1 papers critique it · 1 beat it on benchmarks

What papers say

Verbatim critique sentences, each from a paper that cites MASQuant as a baseline.

Some methods~yu2025mquant,hu2026masquant also attempt to handle the two modalities separately, but such treatment does not fully consider the modality-specific channel outliers.

— Breaking Modality Heterogeneity in Low-Bit Quantization for Large Vision-Language Models

Beaten on benchmarks

Head-to-head results where a newer method reports beating MASQuant. Values are copied from the source paper's tables — verify against the cited paper.

SplitQ beats MASQuant
69.6 vs 5.7
Avg. · [W4A4]
Breaking Modality Heterogeneity in Low-Bit Quantization for Large Vision-Language Models

What to use instead

Recent methods in the same sub-problem, not yet superseded in the knowledge base — arXiv benchmark leaders, not vetted production recommendations.