Sparsity Induction for Accurate Post-Training Pruning of Large Language Models | ScienceToStartup | ScienceToStartup

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References (27)

[1]

Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models

2024Peijie Dong, Lujun Li et al.

[2]

DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

2024Zhihong Shao, Damai Dai et al.

[3]

RepQuant: Towards Accurate Post-Training Quantization of Large Transformer Models via Scale Reparameterization

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"Build a tool for enhancing sparsity in large language models to improve post-training pruning performance."

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Sparsity Induction for Accurate Post-Training Pruning of Large Language Models

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References (27)

Founder's Pitch

"Build a tool for enhancing sparsity in large language models to improve post-training pruning performance."

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Sparsity Induction for Accurate Post-Training Pruning of Large Language Models

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References (27)

Founder's Pitch

"Build a tool for enhancing sparsity in large language models to improve post-training pruning performance."

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