Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the ...
Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in large language models to 3.5 bits per channel, cutting memory consumption ...
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