Timestep-Aware SVDQuant-GPTQ

Newer alternatives

Recent methods in the same sub-problem, not yet superseded in the knowledge base.

• STaR-QuantSTaR-Quant: State-Time Consistent Post-Training Quantization for Diffusion Large Language Models
  Jun 3, 2026
• Timestep-Aware SVDQuant-GPTQTimestep-Aware SVDQuant-GPTQ for W4A4 Quantization of Wan2.2-I2V
  May 26, 2026
• BWLABWLA: Breaking the Barrier of W1AX Post-Training Quantization for LLMs
  May 1, 2026
• Bit-by-BitBit-by-Bit: Progressive QAT Strategy with Outlier Channel Splitting for Stable Low-Bit LLMs
  Apr 9, 2026
• Benford-QuantBenford's Law as a Distributional Prior for Post-Training Quantization of Large Language Models
  Jan 29, 2026
• HestiaHESTIA: A Hessian-Guided Differentiable Quantization-Aware Training Framework for Extremely Low-Bit LLMs
  Jan 28, 2026
• Layer-Wise High-Impact Parameter Ratio OptimizationLayer-Wise High-Impact Parameter Ratio Optimization in Post-Training Quantization for Large Language Models
  Nov 21, 2025
• RobuQRobuQ: Pushing DiTs to W1.58A2 via Robust Activation Quantization
  Sep 28, 2025