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TurboQuant: Building a Sub-Byte KV Cache Quantizer from Paper to Production

14 points by wizzense

by Aurornis

0 subcomment

This is a very long article full of LLM generation tells but not a lot of useful information. It makes you accept an agreement for "Aitherium OS" before you can even read it.
Don't waste your time.
There are dozens of AI-coded TurboQuant implementations with more useful information than this. Starting with the llama.cpp discussion can give some better info than this blog post: https://github.com/ggml-org/llama.cpp/discussions/20969