In Defense of Pure 16-Bit Floating-Point Neural Networks (arxiv.org) | HN Screenshots

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Screenshot of arxiv.org: In Defense of Pure 16-Bit Floating-Point Neural Networks

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Screenshot of arxiv.org: SplitQuantV2: Enhancing Low-Bit Quantization of LLMs Without GPUs

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Screenshot of arxiv.org: LLM.int8(): 8-Bit Matrix Multiplication for Transformers at Scale (2022)

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Screenshot of arxiv.org: Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs

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