Title: Gemma 4 E4B IT %E2%80%94 gemma-4-e4b-it
Canonical: https://llmeu.com/da/models/gemma-4-e4b-it/
Markdown mirror: https://llmeu.com/da/models/gemma-4-e4b-it.md
Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json
Provider: Google DeepMind
Licence: apache-2.0
Hosting: catalogue only %E2%80%94 not hosted on LLM EU yet
Sources: https://huggingface.co/google/gemma-4-E4B-it

# Gemma 4 E4B IT

[Google DeepMind](/da/providers/google/)

Sidst gennemg%C3%A5et: 14. okt. 2026

## Suver%C3%A6nitet og hosting

Denne model er katalogiseret til reference. Den er endnu ikke hostet p%C3%A5 LLM EU, og ingen f%C3%B8rsteparts-endpoint betjener den her. Anmodninger til den g%C3%A5r direkte til udbyderen under den p%C3%A5g%C3%A6ldende udbyders egne vilk%C3%A5r.

## Resum%C3%A9

Gemma 4 E4B IT er den mindste Gemma 4-model med indbygget lyd, der h%C3%A5ndterer tekst-, billed- og lydinput med et 128K-token kontekstvindue. Google angiver, at "E" i E2B og E4B st%C3%A5r for effektive parametre, og at disse st%C3%B8rrelser bruger Per-Layer Embeddings, s%C3%A5 den gemte model er omkring 8B parametre, mens det effektive antal er mindre. Modelkortet rapporterer 69,4 % p%C3%A5 MMLU Pro og 58,6 % p%C3%A5 GPQA Diamond, og den er licenseret under Apache-2.0.

## Specifikationer

- Udbyder
  Google DeepMind (US)
- Kontekstvindue
  131k
- Parametre
  8B
- Modaliteter
  text, vision, audio
- Licens
  apache-2.0 %C2%B7 [licence](https://ai.google.dev/gemma/docs/gemma_4_license)
- %C3%85bne v%C3%A6gte
  yes
- Udgivelsesdato
  02. mar. 2026
- Opgaver
  [Lav pris](/da/tasks/cheap/), [Vision](/da/tasks/vision/), [Flersproget support](/da/tasks/multilingual-support/), [Resum%C3%A9](/da/tasks/summarization/)

## Sprog

**St%C3%A6rk:** en, de, fr, es, it, pt

**Tilstr%C3%A6kkelig:** nl, pl, sv, cs, ro, el, uk, ru, ar, hi, zh, ja, ko, tr

#### St%C3%A6rk

- en
- de
- fr
- es
- it
- pt

#### Tilstr%C3%A6kkelig

- nl
- pl
- sv
- cs
- ro
- el
- uk
- ru
- ar
- hi
- zh
- ja
- ko
- tr

Ikke verificeret: udbyderen har ikke dokumenteret denne p%C3%A5stand. %E2%80%94 a language is listed as strong only where a source claims it; the card links the evidence where one exists.

## Hvorn%C3%A5r man bruger den

#### Styrker

- native audio input in the small-model class
- Apache-2.0 licence
- runs on modest hardware
- text, image and audio in one checkpoint

#### Begr%C3%A6nsninger

- 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

## Ofte stillede sp%C3%B8rgsm%C3%A5l

### Is Gemma 4 E4B IT served on LLM EU?

It has no endpoint in the catalogue, so it is catalogue only %E2%80%94 not hosted on LLM EU yet, with no region and no retention to report. A card whose status is "listed" is a catalogue entry, not a running deployment.

### Under what licence is Gemma 4 E4B IT released?

Gemma 4 E4B IT is recorded under apache-2.0. The recorded licence text is https://ai.google.dev/gemma/docs/gemma_4_license. The weights are downloadable (open_weights is true). LLM EU republishes the licence id and the link and gives no legal advice; the licence text governs.

### How large is Gemma 4 E4B IT, and what context window does it have?

Gemma 4 E4B IT is recorded at about 8B stored (safetensors total 7,996,156,490); the card states that "E" in E2B and E4B stands for effective parameters, using Per-Layer Embeddings (source: https://huggingface.co/api/models/google/gemma-4-E4B-it), with a context window of 131072 tokens (source: https://huggingface.co/google/gemma-4-E4B-it).

### Priser

Denne model er katalogiseret til reference. Den er endnu ikke hostet p%C3%A5 LLM EU, og ingen f%C3%B8rsteparts-endpoint betjener den her. Anmodninger til den g%C3%A5r direkte til udbyderen under den p%C3%A5g%C3%A6ldende udbyders egne vilk%C3%A5r.

### Verifikationsstatus

Hvor et felt ikke har nogen kilde, viser kortet det som uverificeret i stedet for at udfylde det. Et tomt felt er information.

LLM EU Verified betyder dokumenteret, ikke juridisk certificeret. Det er ikke en overensstemmelsesvurdering efter AI Act, og LLM EU er ikke et EU-organ.

### Versioner og varianter

- catalogue %C2%B7 Kun katalog %C2%B7 [weights](https://huggingface.co/google/gemma-4-E4B-it)

### Eksempel p%C3%A5 anmodning

```
curl https://api.llmeu.com/v1/chat/completions \
  -H "Authorization: Bearer $LLMEU_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"gemma-4-e4b-it","messages":[{"role":"user","content":"Hello"}]}'
```

Ingen playground er udrullet til denne model: intet endpoint betjener den, s%C3%A5 en anmodning ville ikke have noget sted at g%C3%A5 hen.

### Benchmarks

- MMLU Pro: **69.4% (vendor-reported)** [source](https://huggingface.co/google/gemma-4-E4B-it)
- AIME 2026, no tools: **42.5% (vendor-reported)** [source](https://huggingface.co/google/gemma-4-E4B-it)
- GPQA Diamond: **58.6% (vendor-reported)** [source](https://huggingface.co/google/gemma-4-E4B-it)

### Kilder

- [huggingface.co](https://huggingface.co/google/gemma-4-E4B-it)

### Kortets %C3%A6ndringslog

- 02. mar. 2026 %E2%80%94 Udgivelsesdato
- 14. okt. 2026 %E2%80%94 Sidst gennemg%C3%A5et

Sidst gennemg%C3%A5et: 14. okt. 2026

### Opgaver

- [Lav pris](/da/tasks/cheap/)