Imodeli Quantization
Ukulinganisa kwemodeli kuncipha inethiwekhi ye-neural ngokugcina izinombolo zayo ngamabhithi ambalwa, ngakho imodeli efanayo isebenza ngokushesha nangezingxenyekazi zekhompuyutha ezincane.
Uhlolojikelele
It is the main reason large models can fit on a single GPU, a laptop, or even a phone.
I-Deep Dive
Amamodeli aqeqeshiwe ngokuvamile agcina isisindo ngasinye njengenombolo yephoyinti elintantayo elingu-32-bit noma elingu-16-bit. I-Quantization ithatha indawo yalawo anamafomethi anembe kancane njengezinombolo eziphelele ezingu-8-bit (INT8) noma amanani angu-4-bit (INT4), ukusika inkumbulo cishe ku-4x kuya ku-8x. Imodeli yepharamitha eyizigidi eziyizinkulungwane ezingama-70 edinga cishe u-140GB ku-16-bit ingehla eduze kuka-35GB ku-4-bit, ingene ku-GPU yomthengi oyedwa. Ukubamba ukunemba: ukuminyanisa izinhlobonhlobo zamanani kumabhakede angu-256 noma angu-16 kulahlekelwa imininingwane. Izindlela zesimanje ezifana ne-GPTQ, AWQ, kanye nefomethi ye-NF4 esetshenziswa ku-QLoRA zikhetha izici zokukala ezihlakaniphile futhi zivikele izisindo ezibucayi kakhulu, ngakho ukulahlekelwa kwekhwalithi kuvame ukuba kuncane. I-Quantization yingakho amathuluzi afana ne-llama.cpp ne-Ollama ekwazi ukusebenzisa amamodeli anekhono endaweni ngaphandle kwesikhungo sedatha.
I-Technical Insight
Ukulinganisa kumephu amanani angempela kugridi eyinombolo ephelele kusetshenziswa isikali nephoyinti elinguziro: storage_int = round(value / scale) + zero_point. Ukukhetha isikali kahle kuwumdlalo wonke. Ukukala kwesiteshi ngasinye noma kweqembu ngalinye kugcina izikali ezihlukene zezingcezu ze-matrix yesisindo, okugcina ukunemba lapho kubalulekile. I-Post-training quantization ivele iguqule imodeli eqediwe, kuyilapho ukuqeqeshwa kokwazi i-quantization kulingisa ukuzungeza phakathi nokuqeqeshwa ukuze inethiwekhi ifunde ukukubekezelela, ngokuvamile kunikeza ukunemba okungcono kokuphansi.
I-Strategic Impact
Izindleko kanye nesabelomali
Izinqumo zezakhiwo ziqhuba ukusebenza kanye nezindleko zokusebenza iminyaka.
Izinqumo ezicacile
Imfundo yobuchwepheshe isiza amaqembu ukuthi akhethe isitaki esifanele, hhayi nje esisha.
Ukulawulwa kwekhwalithi
Izinketho ezingcono zobunjiniyela zinciphisa izehlakalo ezinokwethenjelwa ekukhiqizeni.
Ikusasa Lokulinganiswa Kwemodeli
Lindela ukunemba okuhlala okuphansi ukuthi kube okuvamile. Ucwaningo luphusha okuthembekile okungu-4-bit, 2-bit, ngisho nezisindo kanambambili, kanye nezikimu ezinembile ezixubile ezigcina izendlalelo ezibucayi ziphakeme. Izingxenyekazi zekhompyutha ziyalandela: Ama-GPU nama-chip efoni manje ahlanganisa amayunithi omdabu e-INT8, INT4, kanye ne-FP8. Amafomethi afana ne-FP8 ne-MXFP4 ahlose ukuhlanganisa ububanzi bokuntanta nosayizi wamanani aphelele. Kuhlanganiswe namasu afana ne-QLoRA, ukulinganisa kuzoqhubeka kwenza amamodeli esikali somngcele ashibhe ukusebenzisa nokushuna kahle kumadivayisi ansuku zonke.
Ukuqaliswa Komhlaba Wangempela
Ukusebenzisa imodeli ye-7B noma 13B Llama kukhompuyutha ephathekayo ene-llama.cpp noma i-Ollama esebenzisa amafayela angu-4-bit GGUF.
I-QLoRA ishuna kahle imodeli enkulu ku-GPU eyodwa ngokugcina izisindo eziyisisekelo zifriziwe ku-4-bit NF4.
Isebenzisa amamodeli e-INT8 kumafoni anezikhathi zokusebenza ezikudivayisi ukuze abasizi basebenze bengaxhunyiwe ku-inthanethi nangasese.
Ukukhonza izindawo ezishibhile ze-API lapho ukulinganisa kwe-INT8/FP8 kucishe kuphindeke kabili futhi kwehlise izindleko zememori.
Izingozi & Guardrails
Ukuthuthukisa ibhentshimakhi eyodwa kungafihla ubuthakathaka obubanzi besistimu.
Izindleko zengqalasizinda nezokulungisa zivame ukubukelwa phansi.
Izikhala zokuphepha nokubonakala zingakhula njengoba izinhlelo ziba nzima kakhulu.
Ukuqalisa Umhlahlandlela
Chaza ukubambezeleka, ikhwalithi, nezindleko ezihlosiwe ngaphambi kokuqaliswa.
Ibhentshimakhi ngaphansi komthwalo wangempela nezimo zedatha.
Ukuqapha amathuluzi amaphutha, ukukhukhuleka, nomthelela wabasebenzisi.
Lungiselela izindlela zokuhlehlisa nezigameko ngaphambi kokukala.
Qhubeka Uhlole
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Umhlahlandlela olandelayo
Ama-Model Registries
Imibuzo evame ukubuzwa
What is Model Quantization?
Ukulinganisa kwemodeli kuncipha inethiwekhi ye-neural ngokugcina izinombolo zayo ngamabhithi ambalwa, ngakho imodeli efanayo isebenza ngokushesha nangezingxenyekazi zekhompuyutha ezincane. Kuyisizathu esiyinhloko amamodeli amakhulu angangena ku-GPU eyodwa, ikhompuyutha ephathekayo, noma ngisho nefoni.
Ngabe imodeli ye-quantization ishintsha ini ngokuyinhloko ngenethiwekhi ye-neural?
I-Quantization igcina amapharamitha afanayo kumabhithi ambalwa (isibonelo i-INT8 noma i-INT4 esikhundleni sokuntanta okungu-16- noma 32-bit), ukunciphisa inkumbulo nokusheshisa izibalo.
Cishe ingakanani inkumbulo engaguqula imodeli isuke ku-16-bit iye ku-4-bit?
Ukusuka ku-16 bits ngesisindo ngasinye kuye ku-4 bits kunciphisa isitoreji cishe nge-factor of four, yingakho amamodeli amakhulu angangena ku-GPU eyodwa.
Yini embi kakhulu ye-low-bit quantization enamandla?
Ukwenza imephu ububanzi bamanani kumazinga ambalwa ahlukene kulahlekelwa imininingwane, engase yehlise ikhwalithi ngaphandle uma ukukala okuhlakaniphile kuvikela izisindo ezibucayi.
Ingabe ukuqeqeshwa kokwazi nge-quantization kuhluke kanjani ekulinganiseni kwangemuva kokuqeqeshwa?
Ukuqeqeshwa kokwazi ukulinganisa kwakha iphutha lokuzungezisa ku-loop yokuqeqeshwa, ngakho-ke inethiwekhi iyajwayela futhi ngokuvamile igcina ukunemba okwengeziwe ngobubanzi obuncane.
Iyiphi inqubo esebenzisa i-4-bit quantization ukwenza ukulungisa kahle amamodeli amakhulu akhokheleke ku-GPU eyodwa?
I-QLoRA igcina imodeli eyisisekelo ifriziwe ngefomethi engu-4-bit NF4 futhi iqeqesha izisindo ze-adaptha ezincane, ivumela amamodeli amakhulu ukuthi ashunwe kahle kuhadiwe elinesizotha.