Medgemma 4B It
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
Medgemma 4B It je srednje velik odprtokodni vizualno-jezikovni model podjetja Google DeepMind: 4.3B parametrov pod licenco health-ai-developer-foundations (po meri, označeno kot "drugo"). Repozitorij je bil ustvarjen maja 2025 in je zrcaljen na Hugging Face. Sprejema besedilo in slike ter odgovarja z besedilom. Kontrolna točka je nastavljena z navodili in vključuje predlogo za klepet. Objavljena konfiguracija ne navaja kontekstnega okna, zato ga ta kartica ne vsebuje. Kartica je samo za katalog: LLM EU ne poganja tega modela. Založnik na strani modela ne navaja jezikovne pokritosti.
Specifikacije
- Ponudnik
- Google DeepMind (US)
- Kontekstno okno
- Ni preverjeno: ponudnik te trditve ni dokumentiral.
- Parametri
- 4.3B
- Modalnosti
- text, vision
- Licenca
- other · licence
- Odprte uteži
- yes
- Datum izdaje
- 19. maj 2025
- Naloge
- Vid, Povzemanje
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 4.3B 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 health-ai-developer-foundations (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 4.3B 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
- a medical model: outputs are not a diagnosis and this catalogue has not evaluated its clinical behaviour