Activation-Weighted Seeded Residual Coding for Low-Bit LLM Weight Repair

arXiv:2608.23144 · cs.LG, cs.CL · Submitted 2026-08-24 · Read on arXiv

cs.LG, cs.CL

Submitted: 2026-08-24

Updated: 2026-09-15

Comments: 5 pages, 3 figures; updated experiments and figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Quantization — 25× in this paper · explained in 12 episodes
• Accuracy — 19× in this paper · explained in 1 episode
• Calibration — 6× in this paper · explained in 7 episodes
• International Conference on Machine Learning — 3× in this paper
• Elias — 2× in this paper · explained in 2 episodes
• Perplexity — 2× in this paper · explained in 3 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Amortization — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• GPTVQ: The Blessing of Dimensionality for LLM Quantization
• QAM-W: Joint 2D Codebook Quantization for LLM Weights via Hadamard Rotation and Activation-Aware Scaling
• Qwen2.5 Technical Report
• Qwen3 Technical Report
• Qwen2.5-Coder Technical Report
• Yi: Open Foundation Models by 01.AI

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