Kantifikaasioŋ
Quantization dafay wàññi benn model IA ndax dafay denc ay nimero ci anam wu gëna woyof, kon model bi soxla GPU data-center yenn saa yi mën na dox ci ordinatër portable wala telefon.
Résumé
It is the main trick that makes large language models cheap and fast enough to deploy widely.
Plongeur bu xóot
Reseau neuronal dafay nuru ay lim yu bari yu ñuy woowe poid, ñu koy denc ci 16 wala 32 bit ci valeur flottant. Kantitasioŋ dafay denc poid yooyu ci jëfandikoo bit yu néew, lu gëna bari 8-bit (INT8) wala sax 4-bit integer. Joge ci 16-bit dem ci 4-bit dafay dagg mémoire bi lu tollu ci ñeenti yoon, kon benn model bu am 70 milyaar ci parametre bi soxla lu tollu ci 140GB ci 16-bit mën na dugg ci lu tollu ci 35GB ci 4-bit. Nimero yu ndaw yi itam ñooy gëna gaaw ci dem ci mémoire bi, te loolu mooy gëna gaaw defar. Li gëna am solo mooy jaar yoon: soo xasee ay valeur yu bari ci ay niveau yu néew, loolu dafay indi njuumte ci rounding. Pexe yu baax yi dañuy wàññi perte bi ci tànnee bu baax facteur scaling yi ak aar poids yi gëna sensitif, suko defee model bi di doxalee daanaka noonu bi muy jëfandikoo benn wàll ci resources yi.
Gis-gis xarala
Grupp bu nekk ci poid yi dafay am facteur de scale buy màndargaal valeur dëgg yi ci benn ensemble integer bu ndaw; yokk ko ci balans bi dafay nuru defaraat nimero bi njëkk. Pexem kantite ginaaw tàggat yaram yu melni GPTQ ak AWQ dañu jàngat benn done bu ndaw ngir xam ban poid moo gëna am solo ba noppi ñu defar ay balans ngir wàññi njuumti yi ci génne, moo gën ñuy rond lépp ci lu nëbbu. Dañuy faral di tëye aktivaasioŋ yi ci anam wu gëna dëggu ndax dañu gëna wuute ci runtime bi. Resultaa bi mooy xeetu model buy denc ay lim yu mat 4-bit waaye di xayma ay resultaa yu jege lool version full-precision bi.
njeextalu pexe
Gaawaay ak yaatuwaay
Liggéeyukaay yi ci làkk yi mën nañu gëna gaaw te duñu yàq deggoo gi.
Dugg ak yegg
Dafay yaatal jëfandikoo gi ci làkk yi ak ci anam yi ñuy jokkoo.
dogal yu gëna leer
Ekip yi mën nañu gëna yàgg ci àtte ci jamono ji otomatisation di liggéey ci baamtu.
Ëlëgu limu
Xaarandil ni kantite bi nekk default bi moo gën optimisation bi. Jaaykatu hardware yi dañuy yokk 4-bit native ak sax ndimmbalu bit yu gëna ndaw, ak pexe yu melni tàggat xam-xam quantization bake tolerance ngir njubte bu woyof ci model bi ci ndoorte li, wàññi njubte bu gëna néew. Gëstu ci 2-bit ak 1-bit (binary) dafay am solo, ngir mëna doxal model yu mëna def ci telefon yi ak ci chip yiñ samp. Kom aparey bi ak juntuwaay yu bees yi ñungi magg, ay xeetu kantite yu xarañ dinañu nekk lu am solo ngir doxal ay assistant ci gox bi te duñu yonne ay done ci niir yi.
Doxal ci àdduna dëgg
Doxal ab xeetu waxtaan bu melni Llama ci gox bi ci GPU konsomatër di jëfandikoo 4-bit GGUF wala GPTQ fichier ci barabu soxla kàrtu data-center yu bari.
Jàppalekat yi ci aparey yi ci telefon yi, fu model 8 wala 4 bit yi di may man-mani wax ak bind ñu dox te duñu am benn lëkkaloo ci reso bi.
Dagg njëgu inference cloud ngir bot buy jàppale kiliyaan yi ci liggéey model INT8, méngoo ak laaj yu bari ci GPU bu nekk.
Aprey yu Edge yu melni kamera yu xarañ wala kaptër IoT yuy doxal modeli làkku xool bu dëgër ci biir memory bu gàtt.
Risk yi ak balustrade yi
Lépp lu jaarul yoon mën na dugg ci rapoor yi, jàppale ci liggéey bi, wala ci njariñu gëstu bi.
Sensibilite bu gaaw mën na jur njariñ yu wuute ci laajte yu noonu mel.
Done yu am solo mën nañu feeñ sudee seytu jëfandikoo gi néew doole.
Roadmap ngir samp gi
Mandargal formaa génne gi, melokaan bi, ak standard kalite yi laata ngay dugal ko.
Tontu yu am solo ak balluwaay yu wóor saa yu dëggu bi di am solo.
Fexeel am barabu xool nit ñi ngir am njariñ yu am solo.
Toppal anami gacce yi ak di faral di tàggataat ay laaj wala def-liggéey.
Weyal di banneexu
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Gis bi ci topp
Vecteur residual
Laaj yi ñuy faral di laaj
What is Quantization?
Quantization dafay wàññi benn model IA ndax dafay denc ay nimero ci anam wu gëna woyof, kon model bi soxla GPU data-center yenn saa yi mën na dox ci ordinatër portable wala telefon. Mooy pexe bi gëna am solo biy tax modeli làkk yu mag yi yomb te gaaw ba mëna jëfandikoo fu nekk.
Lan mooy njëkka soppi kantite ci reso neuronal bi?
Kantite dafay dencwaat diisaayu model bi ci anam wu gëna ndaw, lu ci melni 8-bit wala 4-bit integer ci barabu flotër 16- wala 32-bit.
Lu tollu ci ñaata memory lañuy sakkanal suñu toxalee poids ci 16-bit dem ci 4-bit?
4 bits mooy benn ci 16 bits, kon dencukaay bi dafay wàcci ba ci lu tollu ci benn ci 1, lu tollu ci 4x wàññiku.
Lan mooy njariñu kantite bu metti bi?
Representation valeur ak niveau yu néew dafay indi njuumte ci rounding, te loolu mën na wàññi kalite output bi sudee duñu ko jëfandikoo bu baax.
Lan la pexe yu melni GPTQ ak AWQ di jëfandikoo ay done yu ndaw ngir etalonnage?
Yii pexe ginaaw tàggat yaram dañuy jàngat yenn misaali dugal ngir mëna tànn factëri eskalaasioŋ yi ak aar poid yu am solo yi, ba noppi tëye génne yi jege li njëkk.
Lan moo waral quantisation di faral di gëna gaaw ci model bi, te baña yam ci gëna ndaw?
Valeur yu gëna ndaw yi dañuy jël bandwidth bu néew ci mémoire bi ngir sarse ak toxal, te loolu mooy faral di nekk bottleneck bi ñuy génne, moo tax inference bi dafay gaaw.