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RaBitQ Authors Debunk TurboQuant Claims

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๐Ÿฆ™Read original on Reddit r/LocalLLaMA

๐Ÿ’กClears up TurboQuant vs RaBitQ confusion critical for KV-cache research in local LLMs

โšก 30-Second TL;DR

What Changed

TurboQuant omits Johnson-Lindenstrauss random rotation in RaBitQ description despite reviewer requests

Why It Matters

This dispute could influence ICLR 2026 discussions and citations in KV-cache compression research. Practitioners should verify claims before adopting TurboQuant for local inference optimizations.

What To Do Next

Read RaBitQ papers [1,2] and compare implementations before using TurboQuant for KV-cache compression.

Who should care:Researchers & Academics
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Original source: Reddit r/LocalLLaMA โ†—