Scale Sensitivity in Low-Bit Post-Training Quantization: Curvature of the Quantization Error Landscape
cs.LG
Submitted: 2026-09-29
Updated: 2026-09-29
Terminology
Sources
- Optimal Post-Training Quantization Scales and Where to Find Them
- The Llama 3 Herd of Models
- GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
- Rethinking Residual Errors in Compensation-based LLM Quantization
- BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction
- GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration
- DeepSeek-V3 Technical Report
- BitNet b1.58 2B4T Technical Report
- A White Paper on Neural Network Quantization
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