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TurboQuant Advantage Over Vanilla Q4
TurboQuant Advantage Over Vanilla Q4
 ### antirez@antirez
Very notable thing: (modified) TurboQuant I implemented is FASTER than Q4, because the vectors share all the same centroids and 16x16 dot product table. So for Q4 quantization, I believe this is definitely the way to go instead of using vanilla Q4 quants.
Mar 29, 2026, 1:11 PM View on X
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One Sentence Summary
The author concludes that the modified TurboQuant implementation outperforms vanilla Q4 due to shared centroids and optimized dot product tables.
Summary
Concluding the thread, the author highlights a significant finding: the modified TurboQuant implementation is faster than vanilla Q4 quantization. This performance gain is attributed to vectors sharing the same centroids and a 16x16 dot product table, making TQ4 a superior choice for this specific use case.
AI Score
79
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Language
English
Tags
TurboQuant
Vector Search
Quantization
Optimization
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