Kedis ku xidhan hagaha · Dhexdhexaad Heerka

Kediska Hagaajinta Kaydka KV

Waxay hubisaa kobaca kaydka KV, qoondaynta bogga, wadaaga waydiinta kooxaysan, xaaladaha dib u isticmaalka horgalaha, qiyaasid, iyo cabirida xusuusta oo leh macnaha guud iyo isdhaafsiga.

Wadooyinka haga ee la xidhiidhaHagaajinta Kaydka Kv
Su'aal 1 ee 8

Waa maxay kaydka KV iyo sababta?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. Waa maxay kaydka KV iyo sababta?
    • Furayaasha dareenka iyo qiyamka horay loo xisaabiyay si aan dib loo xisaabin tillaabo kasta
    • Xogta tababbarka moodeelka ee dib u tababbarka
    • Erayada sirta ah ee isticmaalaha si loo xaqiijiyo
    • Soo saarida qoraalka ugu dambeeya kaliya
  2. Muxuu kaydka KV u noqon karaa dhibaato xusuusta?
    • Waxay si joogto ah u kharribtaa GPU-da
    • Waxay ku kortaa dhererka isku xigxiga, cabbirka dufcadda, iyo lakabyada, mararka qaarkoodna waxay dhaaftaa miisaanka moodeelka
    • Waxa kaliya oo ku shaqeeya qoraal ka gaaban 10 kelmadood
    • Waxay nuqul ka sameysaa nidaamka hawlgalka
  3. Waa maxay fikradda nidaamka hawlgalka ee PagedAttention amaahdo?
    • Utility defragmentation Disk
    • Iskaanka fayraska
    • Xusuus-qurux badan oo leh baloogyo cabbir go'an
    • Miisaanka xallinta shaashadda
  4. Sidee Su'aalo-kooxeed iyo Feejignaan Su'aalo-badan u dhimaan cabbirka kaydka KV?
    • Adigoo tirtiraya habka dareenka
    • Adoo kaydinta kaydka sawir ahaan ahaan
    • By tababar ku saabsan xog yar
    • Adigoo u ogolaanaya madax badan oo su'aalo waydiin ah inay wadaagaan madax furaha/qiimaha ka yar
  5. Waa maxay hal faa'iido oo wadaaga horgalaha ee kaydka KV?
    • Codsiyada leh isla markiiba bilawga waxay dib u isticmaali karaan baloogyadii la kaydiyay
    • Waxay siraysaa qaabka
    • Si isku mid ah ayay u dhimaysaa codsi kasta
    • Waxay meesha ka saartaa baahida dareenka
  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