Gemma 4 E4B IT
Sovranità u hosting
Dan il-mudell huwa katalogat għal referenza. Mhuwiex ospitat fuq LLM EU bħalissa, u l-ebda endpoint tal-ewwel parti ma jservih hawn. Talbiet lejh imorru direttament għand il-fornitur, taħt it-termini tal-fornitur stess.
Sommarju
Gemma 4 E4B IT is the smallest Gemma 4 model with native audio, handling text, images and audio input with a 128K-token context window. Google states that the "E" in E2B and E4B stands for effective parameters and that these sizes use Per-Layer Embeddings, so the stored model is about 8B parameters while the effective count is smaller. The model card reports 69.4% on MMLU Pro and 58.6% on GPQA Diamond, and it is Apache-2.0 licensed.
Speċifikazzjonijiet
- Fornitur
- Google DeepMind (US)
- Tieqa tal-kuntest
- 131k
- Parametri
- 8B
- Modalitajiet
- text, vision, audio
- Liċenza
- apache-2.0 · licence
- Piżijiet miftuħa
- yes
- Data tal-ħruġ
- 02 Mar 2026
- Kompiti
- cheap, vision, multilingual-support, summarization
Lingwi
Qawwi: en, de, fr, es, it, pt
Adekwat: nl, pl, sv, cs, ro, el, uk, ru, ar, hi, zh, ja, ko, tr
Lingwi
Qawwi
- en
- de
- fr
- es
- it
- pt
Adekwat
- nl
- pl
- sv
- cs
- ro
- el
- uk
- ru
- ar
- hi
- zh
- ja
- ko
- tr
Mhux verifikat: il-fornitur ma dokumentax din id-dikjarazzjoni. — a language is listed as strong only where a source claims it; the card links the evidence where one exists.
Meta tużaha
Saħħiet
- native audio input in the small-model class
- Apache-2.0 licence
- runs on modest hardware
- text, image and audio in one checkpoint
Limiti
- reasoning scores well below the larger Gemma 4 sizes
- 128K-token window, half of the medium models
- no evaluation has been run by LLM EU