@pytorch : Quantization of large language models aims to cut compute and memory needs while keeping performance. 𝐏𝐚𝐫𝐞𝐭𝐨𝐐 delivers SOTA results across bit-widths, showing 1.58-, 2-, and 3-bit quantization offer better size-accuracy trade-offs than 4-bit. 💡 Read more: • TwiCopy

PyTorch

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Tensors and neural networks in Python with strong hardware acceleration. PyTorch is an open source project at the Linux Foundation. #PyTorchFoundation

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linkhttp://pytorch.org calendar_today16-09-2016 00:56:26

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PyTorch

@pytorch

5 months ago

Quantization of large language models aims to cut compute and memory needs while keeping performance. 𝐏𝐚𝐫𝐞𝐭𝐨𝐐 delivers SOTA results across bit-widths, showing 1.58-, 2-, and 3-bit quantization offer better size-accuracy trade-offs than 4-bit. 💡 Read more:

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