ShannonLite 1.6
I-AI yebhizinisi engabizi kakhulu enikwa amandla yi-Mistral Large 3nge-amapharamitha angu-675B esewonkekanyeamapharamitha asebenzayo angu-41Bngesakhiwo se-Mixture-of-Experts esinezingxenye ezincane. Iqeqeshwe ngemuva ku-imiphumela engu-2,500 ye-Claude Opus 4.5ukuze kulandelwe imiyalelo ngendlela engavamile.I-NVFP4 quantizationyenza kube nokwenzeka ukusetshenziswa kwe-node eyodwa ku-H100s noma A100s.
Mistral Large 3: I-Granular Mixture-of-Experts
I-Shannon Lite 1.6 yakhelwe ku-Mistral Large 3, imodeli ye-Mixture-of-Experts enezingxenye ezincane, eyingqayizivele, enezindlela eziningi eyakhelwe kusukela phansi ukuze ithembeke, iqonde ulwazi olungemuva olude, futhi isebenze kahle ezingeni lokukhiqiza. Inguqulo eqeqeshwe ngemuva, efundisayo, ilungiswe kahle ukuze isetshenziswe ezingxoxweni, ezinhlelweni ze-agentic, nasezimweni zokusebenzisa ezisekelwe emiyalweni.
Imodeli Yolimi
Isakhiwo se-Granular MoE ngamapharamitha asebenzayo angu-39B ngokuphasa ngakunye phambili
I-Vision Encoder
I-encoder enezindlela eziningi ehlanganisiwe yokuhlaziya izithombe nokuqonda okubonakalayo
Iwindi Lolwazi Olungemuva
Ulwazi olungemuva olwandisiwe lokuqonda amadokhumenti ngokuphelele kanye ne-RAG
Izilimi
IsiNgisi, IsiFulentshi, IsiSpanishi, IsiJalimane, IsiShayina, IsiJapane, IsiKorea, Isi-Arabhu, nokunye okuningi
Ukusetshenziswa Kwebhizinisi Okungabizi Kakhulu
I-Shannon Lite 1.6 isebenzisa ubuchwepheshe be-NVFP4 (4-bit floating point) quantization be-NVIDIA ukuze yehlise kakhulu izidingo zememori ngenkathi igcina ikhwalithi yemodeli. Sebenzisa i-AI esezingeni eliphezulu engqalasizinda ye-GPU efinyelelekayo ngaphandle kobunzima be-multi-node.
Izindleko Zengqalasizinda Ezincishisiwe
I-NVFP4 quantization yehlisa ukusetshenziswa kwememori cishe ngokuphindwe ka-4 uma kuqhathaniswa ne-BF16, okwenza kube nokwenzeka ukusetshenziswa kuma-GPU ambalwa futhi kunciphise kakhulu i-TCO ye-AI yebhizinisi.
Ukusetshenziswa Kwe-Node Eyodwa
Sebenzisa imodeli ephelele yamapharamitha angu-675B ku-node eyodwa yama-H100s noma ama-A100s. Akukho ukuhlela okuyinkimbinkimbi kwe-multi-node, ukuncipha kwezindleko zenethiwekhi, ukusebenza okulula.
Ikhwalithi Yemodeli Egciniwe
Amasu athuthukile e-quantization agcina ukusebenza kwemodeli ekucabangeni, ekulandeleni imiyalelo, nasemisebenzini enezindlela eziningi ngokuncipha okuncane kwekhwalithi.
I-Claude Opus 4.5 Knowledge Distillation
I-Shannon Lite 1.6 iqeqeshwe ngemuva ngokucophelela kusetshenziswa imiphumela engu-2,500 ekhethwe ngokucophelela evela ku-Claude Opus 4.5, imodeli ye-Anthropic ekwazi kakhulu. Le ndlela ye-knowledge distillation ithwebula amaphethini okucabanga athuthukile, ukuhunyushwa kwemiyalelo okucashile, nekhwalithi ephezulu yempendulo.
Mistral Large 3 Instruct 2512 Foundation
Yakhelwe ku-Mistral's state-of-the-art Instruct model (inguqulo 2512) ngokunemba kwe-BF16. Lesi sisekelo sinikeza amakhono asezingeni eliphezulu aklanyelwe abasizi bezinga lokukhiqiza, izinhlelo ezithuthukisiwe zokubuyisa ulwazi, imisebenzi yesayensi, kanye nezinhlelo zokusebenza zebhizinisi eziyinkimbinkimbi.
Claude Opus 4.5 Output Distillation
Iqeqeshwe ngemuva ngemiphumela engu-2,500 esezingeni eliphezulu evela ku-Claude Opus 4.5, ithwebula amakhono okucabanga athuthuke kakhulu e-Anthropic. Idatha ekhethiwe igxile ekulandeleni imiyalelo eyinkimbinkimbi, ekuqondeni okucashile, nasekukhiqizeni izimpendulo ezisezingeni eliphezulu kuzo zonke izizinda ezahlukene.
Inqubo Yokulinganisa ye-NVFP4
Ukulinganisa okuthuthukisiwe kwe-NVIDIA FP4 okusetshenziswe ngemuva kokuqeqeshwa ukuze kuncishiswe ukusetshenziswa kwememori ngenkathi kugcinwa ikhwalithi yemodeli. Kulinganiswe ngokukhethekile izisindo eziqeqeshwe ngemuva ukuze kugcinwe ukudluliswa kolwazi lwe-Claude Opus 4.5 namakhono okulandela imiyalelo.
Ukuhlola Nokugunyaza
Ukuhlola okuphelele kuzo zonke izilinganiso zokulandela imiyalelo, imisebenzi yokucabanga, nezimo zangempela zebhizinisi. Kugunyazwe ukuziphatha okungaguquki kuzo zonke izizinda, imiphumela ezinzile, nokusebenza okuthembekile ezindaweni zokukhiqiza.
Izinketho Eziguquguqukayo Zokuthunyelwa Kwe-GPU
I-Shannon Lite 1.6 enokulinganisa kwe-NVFP4 yenza ukuthunyelwa okungabizi kakhulu kumalungiselelo e-NVIDIA GPU ajwayelekile embonini, okwenza i-AI esezingeni eliphezulu ifinyeleleke ekuthunyelweni kwamabhizinisi ngaphandle kokudinga amaqoqo amaningi abizayo.
NVIDIA H100 SXM
Ukusebenza okuhle kakhulu ngezakhiwo ze-Hopper nememori ye-HBM3
NVIDIA A100 SXM
Ukuthembeka okufakazelwe kuma-GPU ezakhiwo ze-Ampere
Shannon Cloud
Ukuthunyelwa okuphethwe ngokugcwele ngaphandle kwengqalasizinda
Izici ze-AI Ezilungele Ibhizinisi
I-Shannon Lite 1.6 iletha amakhono asemngceleni azuzwe ku-Mistral Large 3 futhi athuthukiswa nge-Claude Opus 4.5 ngemuva kokuqeqeshwa, elungiselelwe imisebenzi yokukhiqiza kuzo zonke izimo zebhizinisi ezahlukahlukene.
Umbono Wezindlela Eziningi
I-encoder yombono eneparamitha engu-2.5B ehlanganisiwe yenza ukuhlaziya isithombe, ukuphendula imibuzo ebonakalayo, nokuqonda amadokhumenti ngezithombe.
Ubuhle Bezilimi Eziningi
Ukusekelwa kwendabuko kwezilimi ezingaphezu kweziyi-12 kuhlanganisa isiNgisi, isiFulentshi, iSipanishi, isiJalimane, isiNtaliyane, isiPutukezi, isiDashi, isiShayina, isiJapane, isiKorea, nesi-Arabhu.
Amakhono Okuba Umenzeli
Izici zomenzeli ezihamba phambili ezinezingcingo zomsebenzi wendabuko kanye nokuphuma kwe-JSON okuhlelekile ukuze kusetshenziswe amathuluzi azimele kanye nokuzenzakalela kokugeleza komsebenzi.
Ukulandela Okusheshayo Kwesistimu
Ukulandela okuqinile nokusekelwa kwemiyalo yesistimu, okwenza ukulawula kokuziphatha okunembile nokugcinwa komuntu okungaguquki.
Umongo Omude Ongu-256K
Iwindi lomongo elinwetshiwe lokuqonda amadokhumenti okuphelele, izingxoxo ezinwetshiwe, nokukhiqizwa okuthuthukisiwe ngokubuyiswa (RAG).
Ukubiza Umsebenzi Wendabuko
Ukusekelwa kokubiza umsebenzi okwakhelwe ngaphakathi ngokuphuma kwe-JSON okuthembekile ukuze kuhlanganiswe kalula namathuluzi angaphandle, ama-API, nezinsizakalo.
Ilungiselelwe Imisebenzi Yokukhiqiza
Ngokusebenza okunamandla komongo omude, ukuziphatha okuzinzile nokungaguquki kuzo zonke izizinda, i-Shannon Lite 1.6 ihamba phambili kuzo zonke izimo zebhizinisi nezocwaningo ezahlukahlukene.
Ukuqonda Amadokhumenti Amade
Hlaziya futhi uhlaziye amadokhumenti amakhulu, izinkontileka, imibiko, namaphepha ocwaningo ngewindi lomongo elingu-256K
Abasizi be-AI Bokukhiqiza
Nika amandla abasizi be-AI abasebenzisa nsuku zonke ngezimpendulo ezithembekile, ezingaguquki, nokulandela imiyalelo okuqinile
Ukuhamba Komsebenzi Womzeli
Ukusetshenziswa kwamathuluzi asezingeni eliphezulu nokubiza umsebenzi ukuze kwenziwe umsebenzi ozimele kanye nokuzenzakalela kokugeleza komsebenzi
Umsebenzi Wolwazi Lwebhizinisi
Ukuhamba komsebenzi okuyinkimbinkimbi kwebhizinisi okudinga amakhono e-AI asemngceleni anokuphuma okungaguquki, okuthembekile
Umsizi Ojwayelekile Wokubhala Ikhodi
Ukukhiqizwa kwekhodi, ukulungisa amaphutha, ukubhala amadokhumenti, nosizo lokuthuthukiswa kwesoftware kuzo zonke izilimi eziningi
Ucwaningo Lwesayensi
Usizo locwaningo, ukubuyekezwa kwezincwadi, ukucubungula umsebenzi wesayensi, nokukhiqizwa kwemibono
Ukukhiqizwa Okuthuthukisiwe Ngokubuyiswa
Ukusebenza okuhle kakhulu kwezinhlelo ze-RAG ngokuhlanganiswa komongo okuthembekile nokuhlanganiswa kokubuyiswa okunembile
Izinhlelo Zokusebenza Zezilimi Eziningi
Izinhlelo zokusebenza zebhizinisi zomhlaba wonke ezidinga ikhwalithi engaguquki kuzo zonke izilimi ezingaphezu kweziyi-12 ezisekelwayo
I-Shannon Lite vs I-Shannon Pro
Khetha imodeli efanele ye-Shannon ngezidingo zakho. I-Shannon Lite inikeza ukuthunyelwa kwebhizinisi okungabizi kakhulu, kanti i-Shannon Pro inikeza amakhono amakhulu ngokucabanga okuthuthukisiwe kwe-chain-of-thought nokusekelwa kwamakhono.
| Isici | Shannon Lite 1.6 | Shannon Pro 1.6 |
|---|---|---|
| Imodeli Eyisisekelo | Mistral Large 3 (675B) | Mistral Large 3 (675B) |
| Amapharamitha Asebenzayo | 41B (I-MoE Enemininingwane) | 41B (I-MoE Enemininingwane) |
| Ukunemba | NVFP4 (4-bit) | Okugcwele i-BF16 (16-bit) |
| Idatha Yangemuva Kokuqeqeshwa | Imiphumela engu-2,500 ye-Claude Opus 4.5 | Imikhondo Yokucabanga ye-KIMI K2 |
| Indlela Yangemuva Kokuqeqeshwa | Ukulungisa Okuncane Okugadiwe | I-GRPO (Ukuthuthukiswa Kwenqubomgomo Ehlobene Neqembu) |
| Imodi Yokucabanga | Okujwayelekile | Imikhondo Yokucabanga Elandelanayo |
| Ukusekelwa Kwamakhono | - | OkwabaPro KuphelaAmakhono Omdabu |
| Ukuthunyelwa | H100/A100 (Inodi Eyodwa) | B200/H200 (FP8) |
| Okungcono Kakhulu Ku- | I-AI Yebhizinisi Engabizi Kakhulu | Amandla Aphezulu + Ukucabanga |
Izwa i-Shannon Lite 1.6
Amakhono e-AI asezingeni eliphezulu anokulinganisa kwe-NVFP4 okungabizi kakhulu. Thumela engqalasizindeni ye-H100 noma i-A100 ukuze uthole ukusebenza kwezinga lebhizinisi ngezindleko ezifinyelelekayo.