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AK@_akhaliq
paper: https://huggingface.co/papers/2606.10445
AK@_akhaliq
SpenseGPT
Practical One-shot Pruning Enabling Sparse and Dense GEMMs for LLM Inference
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Eclipse 🌖@ECLresearch
@_akhaliq Interesting — one-shot pruning that actually supports both sparse and dense GEMM paths is rare. Does the paper compare throughput gains against unpruned baselines at >50% sparsity?
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