Title: Llama 4 Maverick 17 %E2%80%94 llama-4-maverick-17b-128e-instruct
Canonical: https://llmeu.com/da/models/llama-4-maverick-17b-128e-instruct/
Markdown mirror: https://llmeu.com/da/models/llama-4-maverick-17b-128e-instruct.md
Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json
Provider: Meta
Licence: other
Hosting: catalogue only %E2%80%94 not hosted on LLM EU yet
Sources: https://huggingface.co/meta-llama/Llama-4-Maverick-17B-128E-Instruct https://ai.meta.com/blog/llama-4-multimodal-intelligence/ https://docs.aws.eu/bedrock/latest/userguide/model-card-meta-llama-4-maverick-17b-instruct.html

# Llama 4 Maverick 17B-128E Instruct

[Meta](/da/providers/meta/)

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

Llama 4 Maverick er Metas st%C3%B8rre Llama 4 mixture-of-experts-model: 17B aktive parametre, 128 eksperter og omkring 400B totale parametre, med et offentliggjort kontekstvindue p%C3%A5 1M tokens. Den tager tekst og billeder og er positioneret til generelt assistent- og billedforst%C3%A5elsesarbejde. Ligesom Scout leveres den under Llama 4 Community License med t%C3%A6rsklen p%C3%A5 700M m%C3%A5nedlige aktive brugere.

## Specifikationer

- Udbyder
  Meta (US)
- Kontekstvindue
  1.0M
- Parametre
  401.58B
- Modaliteter
  text, vision
- Licens
  other %C2%B7 [licence](https://www.llama.com/llama4/license/)
- %C3%85bne v%C3%A6gte
  yes
- Udgivelsesdato
  05. apr. 2025
- Opgaver
  [Vision](/da/tasks/vision/), [R%C3%A6sonnement](/da/tasks/reasoning/), [Flersproget support](/da/tasks/multilingual-support/), [Resum%C3%A9](/da/tasks/summarization/)

## Sprog

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

**Tilstr%C3%A6kkelig:** ar, id, th, tl, vi

#### St%C3%A6rk

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

#### Tilstr%C3%A6kkelig

- ar
- id
- th
- tl
- vi

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

- multimodal input with 1M-token context
- 17B active parameters keep per-token compute moderate
- vendor reports competitiveness with much larger dense models

#### Begr%C3%A6nsninger

- about 400B total parameters must fit in memory even though only 17B are active
- Llama 4 Community License, not an OSI licence
- Meta%E2%80%99s benchmark comparisons are self-reported

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

### Is Llama 4 Maverick 17B-128E Instruct 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 Llama 4 Maverick 17B-128E Instruct released?

Llama 4 Maverick 17B-128E Instruct is recorded under other. The recorded licence text is https://www.llama.com/llama4/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 Llama 4 Maverick 17B-128E Instruct, and what context window does it have?

Llama 4 Maverick 17B-128E Instruct is recorded at about 400B total, 17B active, 128 experts (safetensors total 401,583,781,376) (source: https://huggingface.co/api/models/meta-llama/Llama-4-Maverick-17B-128E-Instruct), with a context window of 1048576 tokens (source: https://docs.aws.eu/bedrock/latest/userguide/model-card-meta-llama-4-maverick-17b-instruct.html).

### 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/meta-llama/Llama-4-Maverick-17B-128E-Instruct)

### 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":"llama-4-maverick-17b-128e-instruct","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

Ingen offentliggjort evaluering. Dette er en mangel, ikke et skjult resultat.

### Kilder

- [huggingface.co](https://huggingface.co/meta-llama/Llama-4-Maverick-17B-128E-Instruct)
- [ai.meta.com](https://ai.meta.com/blog/llama-4-multimodal-intelligence/)
- [docs.aws.eu](https://docs.aws.eu/bedrock/latest/userguide/model-card-meta-llama-4-maverick-17b-instruct.html)

### Kortets %C3%A6ndringslog

- 05. apr. 2025 %E2%80%94 Udgivelsesdato
- 14. okt. 2026 %E2%80%94 Sidst gennemg%C3%A5et

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