Models & Stacks
TurboQuant Guide
Set up TurboQuant and put its quantization workflow to use on your models.
Published March 2026
Look inside
TurboQuant is a compression algorithm from Google Research that quantizes the KV cache of language models down to 3 bits per value. It needs no training, no fine-tuning, and no calibration data, and works on any transformer model instantly. Published March 2026 and headed to ICLR 2026, it delivers roughly 6x less memory and up to 8x faster inference with zero accuracy loss.
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