Quantization
Quantization inodzikisira modhi yeAI nekuchengetedza nhamba dzayo pazasi, saka modhi yaida data-center GPU dzimwe nguva inogona kumhanya palaptop kana foni.
Pfupiso
It is the main trick that makes large language models cheap and fast enough to deploy widely.
Kudzika Kwakadzika
Neural network inowanzoita murwi mukuru wenhamba dzinodaidzwa kuti huremu, dzinowanzochengetwa se16- kana 32-bit floating-point values. Quantization inochengetedza zvakare zviremu izvo uchishandisa mashoma mabhiti, anowanzo 8-bit (INT8) kana kunyange 4-bit manhamba. Kuenda kubva ku16-bit kusvika ku4-bit kunocheka ndangariro zvakapetwa kana, saka 70-bhiriyoni-parameter modhi inoda nezve 140GB pa16-bit inogona kukwana mune ingangoita 35GB pa4-bit. Nhamba diki dzinofambawo mundangariro nekukurumidza, izvo zvinowanzo mhanyisa chizvarwa. Kubata kwacho ndekwechokwadi: kudzvanya huwandu hwakasiyana hwehunhu mumatanho mashoma kunounza kukanganisa kwekutenderera. Nzira dzakanaka dzinoderedza kurasikirwa uku nekunyatsosarudza kuyera zvinhu uye kuchengetedza huremu hwakanyanya, saka modhi unoita zvakangofanana uchishandisa chidimbu chezviwanikwa.
Technical Insight
Boka rega rega rezviyereso rinowana chikero chinoburitsa kukosha chaiko pachikamu chidiki chezvikamu; kudzokorodza kumashure nechiyero anenge anovaka patsva nhamba yekutanga. Post-training quantization nzira seGPTQ neAWQ ongorora diki rekugadzirisa dataset kuti usarudze kuti uremu hupi hunonyanya kukosha uye kuseta zvikero kuti uderedze chikanganiso chekubuda, pane kutenderedza zvese nemapofu. Ma actitions anowanzo chengetwa ari epamusoro chaiko nekuti anosiyana zvakanyanya panguva yekumhanya. Mhedzisiro iyi modhi inochengeta 4-bit integers asi inokokorodza mibairo iri padyo neiyo yakazara-chaiyo vhezheni.
Strategic Impact
Kumhanya uye chiyero
Mutauro workflows inogona kufamba nekukurumidza pasina kupira kuenderana.
Svika uye svika
Inopamhidzira kupinda mumitauro yese nemataera ekutaurirana.
Sarudzo dzakajeka
Zvikwata zvinogona kupedza nguva yakawanda pakutonga uku otomatiki ichibata kudzokorora.
Ramangwana reQuantization
Tarisira kuti quantization ichave iyo yekutanga pane kugadzirisa. Hardware vatengesi vari kuwedzera vekuzvarwa 4-bit uye kunyange yakaderera-bit rutsigiro, uye matekiniki akafanana quantization-anoziva kudzidziswa kubika kushivirira kwakaderera kunyatsojeka mumuenzaniso kubva pakutanga, kuderedza kutadza kurasikirwa mberi. Tsvagiridzo mu2-bit uye 1-bit (binary) inomiririra inoshanda, ichivavarira kumhanyisa mamodheru anokwanisa pamafoni nemachipisi akaiswa. Sezvo pa-mudziyo uye yakavanzika AI inokura, inoshanda quantized modhi ichave yepakati pekumhanyisa vabatsiri munharaunda pasina kutumira data kune gore.
Real-World Implementation
Kumhanyisa chat modhi seLlama munharaunda pamutengi GPU uchishandisa 4-bit GGUF kana GPTQ mafaera pane kuda akawanda data-center makadhi.
Pa-device vabatsiri pamafoni, apo 8-bit kana 4-bit modhi dzinorega kutaura uye zvinyorwa zvemavara zvifambe pasina network.
Kucheka mutengo wekufungidzira wemutengi-rutsigiro nekushandira iyo INT8 modhi, inokodzera zvimwe zvikumbiro paGPU yega yega.
Zvishandiso zveEdge zvakaita semakamera akangwara kana maIoT sensors anomhanyisa compact quantized yemutauro-mutauro modhi mukati memuganho wekurangarira.
Njodzi & Guardrails
Chokwadi chehuroyi chinogona kupinda chinyararire mishumo, kuyerera kwetsigiro, kana tsvakiridzo.
Kunzwa nekukasira kunogona kugadzira mhedzisiro isingaenderane pane zvikumbiro zvakafanana.
Sensitive text data inogona kuburitswa kana zvidhiraivho zvisina kusimba.
Implementation Roadmap
Tsanangura chimiro chekubuda, toni, uye mhando zviyero usati waburitsa.
Mhinduro dzepasi neakavimbika masosi pese pazvine basa.
Chengetedza ongororo yekuongorora yemunhu kune yakakwira-stake zvinobuda.
Tevera maitiro ekutadza uye dzidzisazve kukurudzira kana mafambiro ebasa nguva nenguva.
Ramba Uchiongorora
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Gaidhi rinotevera
Residual Vector Quantization
Mibvunzo inowanzo bvunzwa
What is Quantization?
Quantization inodzikisira modhi yeAI nekuchengetedza nhamba dzayo pazasi, saka modhi yaida data-center GPU dzimwe nguva inogona kumhanya palaptop kana foni. Ndiwo hunyengeri hukuru hunoita kuti mhando dzemitauro mikuru dzakachipa uye nekukurumidza zvakakwana kuti dzitumire zvakanyanya.
Chii chinonzi quantization inonyanya kuchinja nezve neural network?
Quantization inochengetedza zvakare huremu hwemodhi pane yakaderera manhamba, senge 8-bit kana 4-bit integers pane 16- kana 32-bit inoyangarara.
Zvichida kuti ingani ndangariro inochengetwa nekufambisa uremu kubva ku16-bit kusvika ku4-bit?
4 bits chikamu chimwe muzvina chegumi nematanhatu, saka uremu hwekuchengetedza huremu hunodonha kusvika pakota, inenge 4x kudzikiswa.
Chii chakanyanya kuderera cheaggressive quantization?
Kumiririra hunhu hune mazinga mashoma kunounza kukanganisa kutenderedza, izvo zvinogona kudzikisa kunaka kwekubuda kana kukasagadziriswa nemazvo.
Ndedzipi nzira dzakaita seGPTQ neAWQ dzinoshandisei diki rekugadzirisa dataset?
Idzi nzira dzepashure-yekudzidzira dzinoongorora mashoma ekuisa sampuli yekuseta zvinhu uye kudzivirira huremu hunonzwisisika, kuchengetedza zvinobuda padyo nepakutanga.
Sei quantization ichiwanzoita modhi nekukurumidza, kwete idiki?
Yakaderera-chaiyo tsika dzinotora shoma ndangariro bandwidth kurodha uye kufamba, iyo inowanzova iyo bhodhoro panguva yechizvarwa, saka inference inomhanyisa.