July 10, 2025
Qwen vs LLaMA ngo-2025: Ukuntywila ngokuNzulu kwiiModeli ze-AI eziPhezulu
Ukuba ubeka iliso kwi-AI yomthombo ovulekileyo, mhlawumbi uvile ngeQwen kunye ne-LLaMA. Le mifuziselo yolwimi mibini ibisenza amaza ngo-2025 ngokusebenza kwayo, ukufikeleleka, kunye nokuba luncedo kuluhlu olubanzi lwemisebenzi. Kweli nqaku, siya kukukhokela kuthelekiso olupheleleyo ukuze wenze isigqibo sokuba yeyiphi eyona ilungele iimfuno zakho.
Isiqulatho
Qwen vs LLaMA: Lilonke ucazululo lwentsebenzo ye-AI LLM
Izakhono zokuthetha iilwimi ezininzi
Ubuchule bokuqonda kunye nobude bomxholo
Iikhowudi kunye neemeko zokusetyenziswa komphuhlisi
Ukhuseleko, ulungelelwaniso, kunye nokwamkelwa koluntu
Yintoni iQwen kunye neLLAMA?
Qwen (ngu Alibaba Cloud)
Qwen, imfutshane ethi "Query-Wise Enhanced Network," imodeli yesiseko seelwimi ezininzi ephuhliswe nguAlibaba Cloud. Eyakhelwe ngogxininiso oluqinileyo kwisiTshayina kunye nezinye iilwimi zaseAsia, uQwen uye wafumana udumo ngokukhawuleza, uvakalelo lwethoni, kunye nokuchaneka kwenkcubeko.
Iimbonakalo
Ilungiselelwe isiTshayina, isiKorea, isiJapan kunye neelwimi zaseMazantsi mpuma eAsia.
Ukusebenza ngamandla kumxholo, idiomatic, kunye neenguqulelo ezisesikweni.
Umyalelo owomeleziweyo-olandelayo ngokusebenzisa iinguqulelo ezilungelelanisiweyo ezifana neQwen-2.
Ifumaneka ngelifu elikhulu kunye nababoneleli be-API e-Asia.
IiPros
Okugqwesileyo-kwiklasi yolwimi lwaseAsia ngokutyibilikayo.
I-Excels kulawulo lwethoni, i-honorifics, kunye ne-nuances yendawo.
Uphatha umxholo ophezulu, amaxwebhu ajolise kushishino kakuhle.
Ihlaziywa rhoqo ngokuphuculwa kolwimi lwengingqi.
Ububi
Ukusebenza okusezantsi kumsila omde okanye kwiilwimi zaseYurophu ezinobutyebi obuphantsi.
Isixokelelwano somthombo ovulekileyo esilinganiselweyo xa sithelekiswa ne-LLaMA.
Ukudityaniswa kwizitaki zabaphuhlisi baseNtshona kunokufuna iindlela zokusebenza.
LLaMA (nguMeta AI)
I-LLaMA, okanye "iModeli yoLwimi olukhulu lweMeta AI," imodeli yobunzima obuvulekileyo ukusuka kwiMeta. Ngokukhululwa kwe-LLaMA 3 ngo-2025, ngoku ikhuphisana intloko-to-intloko nazo zombini ii-LLM zobunikazi kunye nomthombo ovulekileyo kuluhlu olubanzi lwemisebenzi-ukusuka kuguqulelo lweelwimi ezininzi ukuya kwi-automation yeshishini.
Iimbonakalo
Ulwakhiwo olunokwehla kakhulu oluneemodeli ukusuka kwi-8B ukuya kwi-65B + iiparamitha.
Ifumaneka ngokuvulelekileyo kuphando kunye nokusetyenziswa kwezorhwebo.
Ulungelelaniso lwenkxaso yeelwimi ezininzi kwiilwimi ezili-100+.
Ukusebenza okuqinileyo ekuveliseni ikhowudi, isishwankathelo, kunye ne-QA.
IiPros
Ubunzima obuvulekileyo kunye nomphuhlisi-ulungele ukulungiswa kakuhle kunye nokusasazwa.
Ukusebenza okuthembekileyo kuyo yonke imimandla eyahlukeneyo kunye neelwimi.
Ifaneleke kakuhle ukuhlelwa okucwangcisiweyo, ukuhamba komsebenzi okusekwe kwimemori, kunye neelophu zengxelo.
Isebenza ngaphandle komthungo kwizixhobo ezifana neLangChain, iHugging Face, kunye ne-MachineTranslation.com's aggregation engine.
Ububi
Ngaba ingasebenzi kakuhle kwiilwimi zaseAsia xa ithelekiswa neQwen kunye nabanye.
Ukusilela kwethoni kunye nokuchaneka kwe-idiomatic kwiitekisi zomxholo ophezulu.
Ifuna i-tuning okanye iinkqubo ezixubeneyo ukuze itshatise ukutyibilika kukaQwen kwiimarike zengingqi.
Qwen vs LLaMA: Lilonke ucazululo lwentsebenzo ye-AI LLM
Le grafu ibonisa uthelekiso lwentloko-ntloko phakathi kweemodeli ezimbini zolwimi lwe-AI oluphambili, i-Qwen 2 kunye ne-LLaMA 3, kwiindidi ezine ezingundoqo zokuvavanya.
KuLwazi ngokuBanzi & Ukuchaneka koBunyani, i-Qwen 2 ifumana i-8.5, i-LLaMA 3 ehamba phambili kancinane, ukusuka kwi-8.2 ukuya kwi-8.8 ngokuxhomekeke kwiimeko zovavanyo. Ingenelo iyaqhubeka kwiNgqiqo & UkuSombulula iNgxaki, apho uQwen ufumana i-8.3, ngelixa ukusebenza kwe-LLaMA kubanzi ngakumbi kodwa kudlulele kwi-8.1 ukuya kwi-9.0.
Umsantsa uya ubonakala ngakumbi kwiindawo ezinobuchwephesha obunzulu. KwiKhowudi & Ukucwangcisa, i-Qwen 2 ifezekisa i-8.7 eyomeleleyo, ngelixa i-LLaMA ihamba ngasemva kunye noluhlu lwe-7.5 ukuya kwi-8.5-ebonisa ukuhambelana kwe-Qwen kunye namandla kwimisebenzi ye-logic ehleliweyo.
Ngokufanayo, kuMyalelo Olandelayo & Ukusebenza koMsebenzi, uQwen amanqaku angama-8.4 xa kuthelekiswa ne-LLaMA esezantsi kancinane kuluhlu lwe-7.8 ukuya ku-8.6. Ezi ziphumo zibonisa ukuba i-Qwen 2 inokubonelela ngemveliso ethembekileyo ngakumbi, ngakumbi kwizicelo eziphathekayo ezifuna ukuchaneka, ukucaca, kunye nokuchaneka komxholo.
Izakhono zokuthetha iilwimi ezininzi
Masithethe ngamandla eelwimi ezininzi, ngakumbi ukuba usebenza kwiimarike zehlabathi. UQwen uxhasa ngaphezu kweelwimi ezili-100 kwaye usebenza kakuhle kwimisebenzi yolwimi lwaseAsia olunezibonelelo eziphantsi.
UQwen ubonisa umsebenzi ogqwesileyo kwinguqulelo yesiNgesi ukuya kwisiFrentshi, ukuphumeza amanqaku akufutshane-agqibeleleyo ngokuchaneka (9.5/10), igrama (10/10), kunye nokunyaniseka komxholo (10/10). Iinguqulelo zayo zichanekile, zisebenzisa amagama akumgangatho weshishini elifana ne "parcours client" kunye ne "omnicanal," ngelixa igcina igrama engenasiphako kunye namabinzana endalo. Idatha ibeka ngokucacileyo i-Qwen njengemodeli ethembeke ngakumbi yeenguqulelo zebakala lobuchwephesha, ngakumbi kwiinkalo ezikhethekileyo ezifana nokuthengisa ngedijithali.
Ngokwahlukileyo, i-LLaMA isala ngasemva ngamanqaku aphantsi ngokuchaneka (8.0/10), igrama (8.5/10), kunye nomxholo (8.0/10), ebonisa ukungahambisani okufana ne-awkward "cartographie des voyages des clients."
Ngelixa iinguqulelo zayo zichanekile ngokobuchwephesha, azinabupolishi kunye nobuciko bentetho yemveliso kaQwen. Umsantsa weenkcukacha-manani ugxininisa imfuno ye-LLaMA yokuhlela emva kokuhambelana nokuchaneka kukaQwen, ngakumbi kwizicelo ezibalulekileyo zeshishini.
Ubuchule bokuqonda kunye nobude bomxholo
Xa usebenzisa imodeli, isantya kunye nobude bomxholo yinto ebalulekileyo. I-LLaMA 3.2 imalunga namaxesha amathathu ngokukhawuleza kune-Qwen 2.5 kwiisetingi ezininzi ze-inference, enkosi kwi-architecture yayo elula. Oko kunokwenza umahluko omkhulu kwiindawo zemveliso okanye xa usebenza kwii-GPU ezisezantsi.
Ngokobude bomxholo, zombini iimodeli ziye zanyuka. I-LLaMA 3.2 ngoku ixhasa ukuya kuthi ga kwii-tokens ze-128K, ezihambelana nefestile yemongo eyandisiweyo ye-Qwen. Oku kuthetha ukuba ungabondla amaxwebhu amade okanye iincoko kwaye ufumane iziphumo ezichanekileyo.
Iimfuno zehardware yenye into ekufuneka iqwalaselwe. Iimodeli ezinkulu zikaQwen zinokuba nzima kwisixhobo, ngelixa i-LLaMA ibaleka ngokufanelekileyo kwiiseti zasekhaya. Ukuba ixabiso okanye isantya yinkxalabo yakho ephezulu, i-LLaMA inokuba yeyona ifanelekileyo.
Iikhowudi kunye neemeko zokusetyenziswa komphuhlisi
Ukuba ungumphuhlisi, ukusebenza kwekhowudi kubaluleke kakhulu. UQwen ugqwesa i-LLaMA kwimisebenzi efana ne-HumanEval kunye nemilinganiselo yokuvelisa ikhowudi. Oku kwenza i-Qwen ibe lukhetho oluphezulu lwezicelo ezifana nekhowudi ezenzekelayo, ukudityaniswa kwesixhobo se-dev, okanye i-backend logic.
Ukwenza ngokwezifiso yenye amandla kuzo zombini iimodeli. Unokwenza kakuhle i-Qwen yeendawo ezithile, ngelixa i-LLaMA inikezela ngokukhawuleza ukulungelelanisa imisebenzi ephantsi-latency. Ukudityaniswa kunye neHuggingFace kunye neTransformers kumathala eencwadi agudileyo kuzo zombini.
Kumava ethu, abaphuhlisi bangqiyama ngakwiQwen kuhambo oluqhubela phambili lomsebenzi kunye ne-LLaMA yokusabela. Ukuba isixhobo sakho sidinga ukuqiqa ngengqiqo entsonkothileyo, iQwen ibonelela ngesiseko esingcono. Kodwa kwimisebenzi efuna ukwenziwa ngokukhawuleza, i-LLaMA iya kongela ixesha.
Ukhuseleko, ulungelelwaniso, kunye nokwamkelwa koluntu
Ukhuseleko lwe-AI kunye nolungelelwaniso lube zizihloko eziphambili ngo-2025. Bobabini i-Qwen kunye ne-LLaMA baye bazisa ukuphuculwa kokulungelelaniswa ukunciphisa i-hallucinations kunye nokuphucula ukuchaneka kobunyani. Kodwa amacebo abo ayahluka.
I-LLaMA ibeka phambili ukhuseleko lokuphendula ngokucoca iziphumo kunye nokunciphisa ukugqitywa okuyingozi. UQwen, kwelinye icala, uthembele kumxholo-ukuqonda ngakumbi kunye nokuqonda okunzulu ukugcina ukufaneleka. Oku kunika uQwen umda omncinci kwimisebenzi efuna ukuchaneka kunye ne-nuance.
Inkxaso yoluntu nayo iyinto enkulu. I-LLaMA ine-ecosystem enkulu eneminikelo evela kwi-Meta kunye ne-third party devs. I-Qwen ikhule ngokukhawuleza kwiiplatifomu ezifana ne-HuggingFace, kunye neeforamu zomphuhlisi ezisebenzayo kunye nokuhlaziywa kwemodeli rhoqo.
I-MachineTranslation.com kunye namanye amaqonga oguqulelo adibanisa iiLLMs afumanise ukuba imifuziselo efana neQwen kunye ne-LLaMA ayifikeleli ngokupheleleyo kwiikhrayitheriya ze-SOC 2 ze. ukhuseleko lwedatha kunye nobumfihlo. Kwimibutho ebeka phambili izisombululo zolwimi ezikhuselekileyo, ezithobela ubumfihlo, kukhuselekile ukuthembela ngokuthe ngqo kwisiseko esithembekileyo sikaMachineTranslation.com.
Ukuqukumbela
Ngo-2025, ingxoxo yeQwen vs LLaMA ilungelelene ngakumbi kunangaphambili. I-Qwen 2.5 ikhokelela kwiimeko zokusetyenziswa kweelwimi ezininzi, ezobuchwepheshe, kunye nomxholo, ngelixa i-LLaMA 3.2 igqwesa ngesantya kunye nokusebenza kakuhle. Ukhetho oluchanekileyo luxhomekeke ngokupheleleyo kwiimfuno zakho, nokuba kukukhowuda, ukuguqulelwa, inkonzo yabathengi, okanye ukukhangela okuqhutywa yi-AI.
Siyigubungele indlela yokusebenza, ixesha lokucinga, inkxaso yolwimi, kunye nezicelo zelizwe lokwenyani ukukunceda wenze isigqibo esikrelekrele. Ukuba usebenzisa iiprojekthi zeelwimi ezininzi, zama ukubhanqa iQwen kunye neMachineTranslation.com ukuze uvule iinguqulelo ezichaneke kakhulu kunye nokwabiwa kwendawo okuyo. Nokuba yeyiphi na oyikhethayo, zombini ii-LLMs zibonelela ngamandla amakhulu kunye nokuguquguquka kwihlabathi elivela ngokukhawuleza le-AI yomthombo ovulekileyo.
Vula amandla apheleleyo e-MachineTranslation.com kwaye ufumane ufikelelo olungenamthungo kwii-LLM zenqanaba eliphezulu kunye neenjini zokuguqulela ezifana ne-Qwen kunye ne-LLaMA. Bhalisa ngoku ukuphakamisa iinguqulelo zakho nge-AI ekrelekrele, ukuhanjiswa komsebenzi okukhawulezayo, kunye nokuchaneka okungahambelaniyo kwiilwimi zonke.