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.
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.
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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