Fable
The scribe turned the thick scrolls into fine-print books
The storytelling house continued a long serial every day, and the copyist kept the key-value records of previous text at hand. The longer the story, the more VRAM the full-size records occupied, and the fewer listeners could be served at once.
The old copyist used smaller scales to store these caches, keeping finer marks only for easily confused names. Each continuation still read from the cache and did not need to recompute all the preceding text.
In a story with complex character relationships, over-compression blurs names and references. The poster compared quality by context length, batch size and task type, and found an acceptable point between VRAM savings and stability.
After cache usage dropped, the same storytelling hall could host more listeners at once, and long context had headroom too. But the error margins differ across models, layers, and hardware—you can't just copy one ratio.
KV Cache Quantization reduces memory pressure by storing the attention cache at lower precision. Before serving, the benefits should be evaluated together with quality regression, long context and concurrency SLAs.