Idanwo ti o sopọ mọ itọsọna · Alabọde Ipele

KV Cache Iṣapeye adanwo

Checks KV-cache growth, paged allocation, grouped query sharing, prefix reuse conditions, quantization, and memory scaling with context and concurrency.

Jẹmọ itọsọna awọn ọnaImudara Kaṣe Kv
Ibeere 1 ti 8

Kini ibi ipamọ KV ati kilode?

Awotẹlẹ gbogbo ibeere8 ibeere

Awọn idahun ati awọn alaye han bi o ṣe n mu ibeere naa.

  1. Kini ibi ipamọ KV ati kilode?
    • Awọn bọtini akiyesi iširo iṣaaju ati awọn iye nitoribẹẹ wọn ko ṣe iṣiro ni igbesẹ kọọkan
    • Awọn data ikẹkọ awoṣe fun atunkọ
    • Awọn ọrọigbaniwọle olumulo fun ìfàṣẹsí
    • Ijade ọrọ ikẹhin nikan
  2. Kini idi ti kaṣe KV le di iṣoro iranti?
    • O ba GPU jẹ patapata
    • O dagba pẹlu gigun lẹsẹsẹ, iwọn ipele, ati awọn fẹlẹfẹlẹ, nigbami o kọja awọn iwuwo awoṣe
    • O ṣiṣẹ nikan lori ọrọ kukuru ju awọn ọrọ 10 lọ
    • O pidánpidán awọn ẹrọ eto
  3. Ero-ero ẹrọ ṣiṣe wo ni PagedAttention yawo?
    • Disk defragmentation igbesi
    • Antivirus Antivirus
    • Paging iranti-foju pẹlu awọn bulọọki iwọn ti o wa titi
    • Iwọn iwọn iboju
  4. Bawo ni Ibeere Ikojọpọ ati Ifarabalẹ Ọpọ-Ibeere ṣe dinku iwọn kaṣe KV?
    • Nipa piparẹ ẹrọ akiyesi
    • Nipa titoju kaṣe bi awọn aworan
    • Nipa ikẹkọ lori kere data
    • Nipa jijẹ ki ọpọlọpọ awọn olori ibeere pin diẹ bọtini/awọn ori iye
  5. Kini anfani kan ti pinpin iṣaaju ninu kaṣe KV?
    • Awọn ibeere pẹlu ibẹrẹ ibẹrẹ kanna le tun lo awọn bulọọki ti o fipamọ kanna
    • O encrypts awoṣe
    • O fa fifalẹ gbogbo ibeere ni dọgbadọgba
    • O yọ awọn nilo fun akiyesi
  6. Compared with storing the same KV entries in 16-bit, what does 8-bit storage do to raw cache-value bytes?
    • It doubles the raw bytes
    • It roughly halves the raw bytes, before metadata and other runtime memory
    • It removes the key and value tensors entirely
    • It guarantees twice the inference speed
  7. With full-context attention, no prefix sharing, and a fixed model and cache dtype, what happens if sequence length and batch size both double?
    • It stays constant because model weights are fixed
    • It roughly doubles
    • Raw KV storage grows to roughly four times its previous size
    • It becomes one quarter as large
  8. What must generally match for two requests to reuse the same cached prefix blocks?
    • Only the user account name
    • The requests must have different model weights
    • The prompts must have the same character count but different tokens
    • Their tokenized prefix and relevant model/cache configuration must be compatible