Ternary Mamba-2 1.3B models reach 48.1% zero-shot accuracy via QAT from pretrained checkpoints in 102M tokens, close to Bi-Mamba, with 3.61x compression.
Quamba: A post-training quantization recipe for selective state space models.arXiv preprint arXiv:2410.13229
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COREY maps activation entropy to chunk sizes for SSM kernels, matching static-oracle latency at kernel level with 3.9-4.4x speedups over baselines but adding overhead that prevents end-to-end gains while preserving exact output equivalence.
citing papers explorer
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Ternary Mamba: Grouped Quantization-Aware Training of W1.58A16 State Space Models
Ternary Mamba-2 1.3B models reach 48.1% zero-shot accuracy via QAT from pretrained checkpoints in 102M tokens, close to Bi-Mamba, with 3.61x compression.
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COREY: Entropy-Guided Runtime Chunk Scheduling for Selective Scan Kernels
COREY maps activation entropy to chunk sizes for SSM kernels, matching static-oracle latency at kernel level with 3.9-4.4x speedups over baselines but adding overhead that prevents end-to-end gains while preserving exact output equivalence.