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FP8 Search and KV-Caching in USearch

本文介绍了USearch中FP8搜索和KV缓存的技术实现,探讨了如何在保持高精度的同时显著提升向量搜索性能,为大规模AI应用提供高效解决方案。

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  • FP4 is a 4-bit floating point format that represents a significant reduction from traditional 32-bit and 64-bit floating point standards. This compact format enables more efficient storage and computation in resource-constrained environments like edge devices and AI accelerators.

  • This post examines the NF4 4-bit floating point format and higher precision analogs used for quantizing LLM weights. NF4 and FP4 are common 4-bit data types in bitsandbytes, often found in weights downloaded from Hugging Face.