Softmax Reparameterization for Output-Head Quantization
cs.LG, cs.AI
Submitted: 2026-09-25
Updated: 2026-09-28
Code: https://github.com/ggml-org/llama.cpp
Project page: https://neurips2023-enlsp.github.io/papers/paper_47.pdf
Terminology
Sources
- QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs
- GaugeQuant: Online Learning of Quantization-Optimal Bases from LLM Symmetries
- SoftWater: Class-Aware Rate Allocation for Softmax Quantization
- Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning
- GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
- The Llama 3 Herd of Models
- Over-Tokenized Transformer: Vocabulary is Generally Worth Scaling
- Efficient Memory Management for Large Language Model Serving with PagedAttention
- SpinQuant: LLM quantization with learned rotations
- Pointer Sentinel Mixture Models
- Qwen2.5 Technical Report
- Output Embedding Centering for Stable LLM Pretraining
- SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
- SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration
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