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News/Compression Trinity: Exploring Sparsity, Quantization, and Low-Rank Approximations for LLM Compression
arxiv
PublishedAugust 27, 2026 at 4:00 AM
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Compression Trinity: Exploring Sparsity, Quantization, and Low-Rank Approximations for LLM Compression

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arXiv:2608.24070v1 Announce Type: new Abstract: Prohibitive computational and environmental costs impede the scalable deployment of Large Language Models (LLMs). Traditional compression techniques (sparsity, quantization, low-rank approximations) are typically applied in isolation, and each hits an

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