GLM-5.3-FlashX Uyasebenza

I-GLM-5.3-FlashX iyimodeli yokucabanga esheshayo eyethulwe yi-Zhipu, enesivinini sokukhipha esifinyelela ku-200 tokens/s, eshesha ngokuphindwe ka-5 kune-GLM-5.3-Flash futhi inenani eliphakeme ngokuphindwe ka-2.5; i-API isivuliwe. Imodeli isebenzisa amandla ekhompyutha ama-chip asekhaya angu-100 000. Ingqalasizinda yokucabanga yakhiwa ngokuzenzakalela yi-Agent eqhutshwa yi-GLM-5.3 phakathi namasonto amabili, kanti i-throughput yokuphela-kuya-ekupheleni yafinyelela izikhathi ezingu-3 kunesisekelo sokuqala. Imodeli igxile ekuhlakanipheni okuphezulu kakhulu phakathi kwamamodeli anosayizi ofanayo, ekusebenzeni kahle kwezindleko, nasekuncintisaneni okuphelele kobuhlakani, intengo nesivinini. Ifanele ukuxhumana kwesikhathi sangempela okuzwela ukubambezeleka kanye nezimo ezidinga ukubizwa njalo kwama-Agent.

Ukukhiqizwa kombhalo ngesivinini esikhulu: isivinini sokukhipha sifinyelela ku-200 tokens/s, eshesha ngokuphindwe ka-5 kune-GLM-5.3-Flash.
I-API yokuqedela izingxoxo: i-API evamile iyatholakala ku-bigmodel.cn, kanti i-Model Key yi-GLM-5.3-FlashX.
Ukuhlola ku-inthanethi: isikhungo sokuhlola esisemthethweni sinikeza indlela ebonakalayo yokuzama, ngaphandle kwesidingo sokuyifaka.
Ukuxhumana kwe-Agent ngesikhathi sangempela: ukubambezeleka okuphansi kulungele izinhlelo zama-Agent ezibizwa njalo nezikhipha imiphumela ngokusakaza.
Ukucabanga okusebenza kahle kwezindleko: igcina ubuhlakani obuphezulu kakhulu phakathi kosayizi ofanayo, ngesikhathi inikeza isivinini esiphindwe ka-5 ngentengo ephindwe ka-2.5.

Isisekelo samandla okucabanga sama-chip asekhaya: imodeli isebenza eqoqweni lokucabanga elakhiwe ngama-chip asekhaya angu-100 000. Ngokutshalwa kwezimali okuqhubekayo nokuthuthukiswa kokucabanga ohlangothini lwe-Infra, iqinisekisa ukukhipha okusheshayo nokuzinzile ngaphansi kokusetshenziswa okuningi ngesikhathi esisodwa.
Ukwakhiwa kwe-Infra okuqhutshwa yi-Agent: lonke uhlelo lokucabanga lwakhiwa ngokuzenzakalela yi-Agent eqhutshwa yi-GLM-5.3. Abantu babeka imigomo, imingcele futhi babuyekeze izinguquko ezibalulekile, kanti i-Agent izenzela ukuhlola, ukuhlaziya amalogi, ukuphenya ama-Trace nokuthuthukisa ikhodi. Lokhu kwakha umjikelezo wempendulo egcwele, kwafinyelela ekuthuthukisweni kwe-throughput yokuphela-kuya-ekupheleni izikhathi ezingu-3 ngaphansi kwamasonto amabili.
Ukulungiswa kokunemba kuqinisekisa ukuzinza komongo omude: endleleni ye-CP ye-KDA, kwalungiswa inkinga yokuqoqeka kwamaphutha eyayibangelwa ukufakwa kwe-FP32 okwakusebenzisa ngokuzenzakalela ukubala kwe-TF32. Ngokubeka ngokusobala i-input_precision="tf32x3", ukunemba komongo omude kwathuthukiswa, futhi ukulungiswa kwabuyiselwa ku-upstream ye-Flash Linear Attention.
Ukuthuthukiswa kokusetshenziswa kanyekanye kwe-KV Transfer: kwatholakala ukuthi ukubizwa kwe-C++ ku-DeepEP v1.2.1 kwakungayikhululi i-GIL, ngaleyo ndlela kuvimbe i-Mooncake Transfer thread ohlangothini lwe-Python. Ngemva kokulungiswa, umehluko wokusebenza phakathi kwe-Prefill kanye ne-transfer kanye ne-Prefill ezimele wehla usuka ngaphezu kuka-20% waya ngaphansi kuka-1%.
Ukususa ukuphindaphindwa ku-opharetha ye-KDA Decode: ukubalwa kwe-FP32 kokujwayelekile nokulawula okwakuphindaphindwa izikhathi ezine ngenxa yokuhlukanisa ngebanga le-V kwahlanganiswa ku-thread block eyodwa. Imiphumela ephakathi yabalwa kusenesikhathi futhi yabelwana, okwandisa ukusebenza kwe-opharetha kwaba izikhathi ezingu-1.71 kunangaphambi kokuthuthukiswa.

Bhalisa i-akhawunti: vakashela ku-https://docs.bigmodel.cn/api-reference/ ukuze ubhalise futhi ungene ku-akhawunti.
Thola i-API Key: dala bese ukopisha ukhiye wakho we-API ku-console.
Qinisekisa igama lemodeli: sebenzisa i-Model Key GLM-5.3-FlashX lapho uyibiza.
Ukubiza i-API: bheka imibhalo esemthethweni (i-interface yokuqedela izingxoxo), setha inkambu ye-model esicelweni ibe yi-GLM-5.3-FlashX bese uthumela isicelo.
Ukuhlola ku-inthanethi (ongakukhetha): vakashela isikhungo sokuhlola ku-https://www.bigmodel.cn/trialcenter/modeltrial/visual?modelCode=glm-5.3-flashx ukuze uyizame ngokuqondile ngaphandle kokuyifaka.
Hlanganisa nohlelo: hlanganisa i-API nohlelo lwakho noma nohlelo lokusebenza lwe-Agent, usebenzise ukukhipha kwayo okusheshayo okungu-200 tokens/s ukucubungula ukuxhumana kwesikhathi sangempela.

Isivinini esiphezulu kakhulu: isivinini sokukhipha sifinyelela ku-200 tokens/s, eshesha ngokuphindwe ka-5 kune-GLM-5.3-Flash.
Ubuhlakani ngaphandle kokuyekethisa: igcina isikhathi eside izinga eliphezulu kakhulu lobuhlakani phakathi kosayizi ofanayo; ukusheshisa akwenziwa ngokudela amandla emodeli.
Ukusebenza kahle kwezindleko: ngentengo ephindwe ka-2.5 uthola isivinini esiphindwe ka-5, ngakho izindleko zobuhlakani ngeyunithi ziphansi.
Isisekelo samandla ekhompyutha asekhaya: isekelwe eqoqweni lokucabanga lama-chip asekhaya angu-100 000, nokulawula okuzimele kochungechunge lokuhlinzeka.
Ingqalasizinda eyakhiwe yi-Agent: uhlelo lokucabanga lwakhiwa ngokuzenzakalela yi-Agent eqhutshwa yi-GLM-5.3 ngaphansi kwamasonto amabili, i-throughput yokuphela-kuya-ekupheleni yafinyelela izikhathi ezingu-3 kunesisekelo, kanti ukusebenza kokuphindaphinda kudlula kakhulu ukuthuthukiswa kwendabuko okwenziwa abantu.
Ukuthuthukiswa okujulile kobunjiniyela: ukulungisa ukuchezuka kokunemba kwe-TF32, ukuvinjwa kwe-GIL nokubala okuphindaphindiwe kwenze ukusebenza kwezinga lama-opharetha kwagxuma, kanti i-opharetha ye-KDA Decode yathuthuka izikhathi ezingu-1.71.

Ukubizwa njalo kwe-AI Agent: ekuhambeni komsebenzi kwe-Agent, imodeli ibizwa kaningi ukuze ihlele, ikhethe amathuluzi futhi ihlanganise imiphumela; ukubambezeleka okuphansi kunciphisa ngokuqondile isikhathi esiphelele somsebenzi.
Umsizi wekhodi nokuqedelwa kwe-IDE: izimo zokuhlela zidinga ukuthi okukhiphayo okusakazwayo kubonakale ngokushesha, futhi ukukhiqizwa ngesivinini esikhulu kungathuthukisa kakhulu ukugeleza komsebenzi konjiniyela.
Ukukhiqizwa kokuqukethwe kwesikhathi sangempela kokusakaza bukhoma nokumaketha: imibhalo yokusakaza bukhoma kwe-e-commerce, ukuxhumana ngamazwana nezindaba ezishisayo kudinga izimo lapho okuqukethwe kuvela ngesikhathi kukhulunywa.
Ukuxhumana ngezwi nobungane be-AI: abasizi bezwi nezinhlelo zobungane bemizwa zizwela kakhulu ekubambezelekeni kohlamvu lokuqala nesivinini sokusakaza, ngakho ziyizimo lapho inzuzo yesivinini ingaguqulwa kalula ibe yinani.