GHOST: Unmasking Phantom States in Mamba2 via Grouped Hidden-state Output-aware Selection & Truncation | ScienceToStartup | ScienceToStartup

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References (18)

[1]

GAPrune: Gradient-Alignment Pruning for Domain-Aware Embeddings

2025Yixuan Tang, Yi Yang

[2]

SparseSSM: Efficient Selective Structured State Space Models Can Be Pruned in One-Shot

2025Kaiwen Tuo, Huan Wang

[3]

On Pruning State-Space LLMs

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"Develop a framework for efficient model pruning that reduces state dimensions by 50% with minimal performance loss."

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GHOST: Unmasking Phantom States in Mamba2 via Grouped Hidden-state Output-aware Selection & Truncation

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References (18)

Founder's Pitch

"Develop a framework for efficient model pruning that reduces state dimensions by 50% with minimal performance loss."

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GHOST: Unmasking Phantom States in Mamba2 via Grouped Hidden-state Output-aware Selection & Truncation

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References (18)

Founder's Pitch

"Develop a framework for efficient model pruning that reduces state dimensions by 50% with minimal performance loss."

Commercial Viability Breakdown

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