NVIDIA Cosmos Reason2 2B
Nazadnje pregledano:
Suverenost in gostovanje
Ta model je v katalogu za referenco. Na LLM EU še ni gostovan in noben lastni endpoint ga tukaj ne streže. Zahteve zanj gredo neposredno k ponudniku, pod lastnimi pogoji tega ponudnika.
Povzetek
NVIDIA Cosmos Reason2 2B je objavljen s strani NVIDIA kot odprte uteži z 2.4B parametri pod licenco nvidia-open-model-license (po meri, označeno kot "other"). Sprejema besedilo in slike ter odgovarja z besedilom. Objavljena konfiguracija ne beleži kontekstnega okna, zato ga ta kartica ne vsebuje. Kontrolna točka je uglašena z navodili in vključuje predlogo za klepet. Kartica je samo za katalog: LLM EU ne poganja tega modela. Založnik na strani modela ne navaja jezikovne pokritosti.
Specifikacije
- Ponudnik
- NVIDIA (US)
- Kontekstno okno
- Ni preverjeno: ponudnik te trditve ni dokumentiral.
- Parametri
- 2.4B
- Modalnosti
- text, vision
- Licenca
- other · licence
- Odprte uteži
- yes
- Datum izdaje
- 12. dec. 2025
- Naloge
- Vid, Razmišljanje, Nizki stroški
Jeziki
Močno: —
Zadostno: —
Močno
Zadostno
Ni preverjeno: ponudnik te trditve ni dokumentiral. — a language is listed as strong only where a source claims it; the card links the evidence where one exists.
Kdaj ga uporabiti
Prednosti
- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- at 2.4B parameters it fits on a single accelerator
- instruction-tuned checkpoint with a chat template in the repository
Omejitve
- catalogue only — LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
- no evaluation has been run by LLM EU
- the nvidia-open-model-license (other) licence is a custom agreement whose commercial terms were not established from its published text, so commercial serving is not permitted until a human clears it; the router must not route to it
- the published configuration records no context window, so the card carries none
- at 2.4B parameters, the weights fit on a single modest accelerator
- vision checkpoints are heavier to serve than their parameter count alone suggests, because the image encoder and pre-processing run alongside the language model