Method Drift›LLM quantization

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Quant-dLLM

Quant-dLLM: Post-Training Extreme Low-Bit Quantization for Diffusion Large Language Models

LLM quantization · first seen Sep 27, 2025

current frontier — recent, not yet superseded in the knowledge base

0 papers critique it · 0 beat it on benchmarks

Newer alternatives

Recent methods in the same sub-problem, not yet superseded in the knowledge base.

SplitQ Breaking Modality Heterogeneity in Low-Bit Quantization for Large Vision-Language Models
May 19, 2026
MARR MARR: Module-Adaptive Residual Reconstruction for Low-Bit Post-Training Quantization
May 18, 2026
Quantization-aware Integrated Gradients (QIG)Fine-Grained Post-Training Quantization for Large Vision Language Models with Quantization-Aware Integrated Gradients
Mar 18, 2026
SPEED-Q SPEED-Q: Staged Processing with Enhanced Distillation towards Efficient Low-bit On-device VLM Quantization
Nov 12, 2025
Quant-dLLM Quant-dLLM: Post-Training Extreme Low-Bit Quantization for Diffusion Large Language Models
Sep 27, 2025