Low-Discrepancy Dither for Quantized Recurrent State Caches
cs.LG
Submitted: 2026-09-30
Updated: 2026-09-30
Code: https://github.com/nssprogrammer/ssm-dither
Sources
- Training Verifiers to Solve Math Word Problems
- The Pile: An 800GB Dataset of Diverse Text for Language Modeling
- Mamba: Linear-Time Sequence Modeling with Selective State Spaces
- Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
- Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
- Nemotron-Labs-3-Puzzle-75B-A9B: Compressing Hybrid MoE LLMs
- DAMP: Decay-Aware Mixed-Precision Recurrent-State Quantization
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