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Google’s TurboQuant Promises 6x KV Cache Compression with Zero Accuracy Loss
New quantization technique slashes LLM memory use and boosts inference speed on existing hardware.
Google Research released TurboQuant, a training-free quantization method that compresses key-value (KV) caches in large language models to as little as 3 bits per value.
The result: at least 6x lower memory footprint with no drop...