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Sub-1-Bit LLM Compression via Latent Factorization
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Overview
Official implementation of LittleBit (NeurIPS 2025) and LittleBit-2 (ICML 2026). LittleBit-2: Maximizing the Spectral Energy Gain in Sub-1-Bit LLMs via Latent Geometry Alignment (ICML 2026) Banseok Lee, Youngmin Kim LittleBit: Ultra Low-Bit Quantization via Latent Factorization (NeurIPS 2025) Banseok Lee*, Dongkyu Kim*, Youngcheon You, Youngmin Kim LittleBit compresses large language models into t...
Summary from github.com.
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Hacker News · github.com
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