Google researchers have proposed TurboQuant, a method for compressing the key-value caches that large language models rely on ...
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, ...
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Google's new TurboQuant algorithm could slash AI working memory by 6x, but don't expect it to fix the broader RAM shortage ...
Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...