A paper from Google could make local LLMs even easier to run.
Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in ...
Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...
Google's new TurboQuant algorithm could slash AI working memory by 6x, but don't expect it to fix the broader RAM shortage ...