Title: Llama 4 Scout 17B-16E I %E2%80%94 llama-4-scout-17b-16e-instruct
Canonical: https://llmeu.com/da/models/llama-4-scout-17b-16e-instruct/
Markdown mirror: https://llmeu.com/da/models/llama-4-scout-17b-16e-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-Scout-17B-16E-Instruct https://ai.meta.com/blog/llama-4-multimodal-intelligence/

# Llama 4 Scout 17B-16E 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 Scout er en nativt multimodal mixture-of-experts-model med 17B aktive parametre, 16 eksperter og 109B totale parametre. Meta annoncerer et kontekstvindue p%C3%A5 10 millioner tokens for den, det st%C3%B8rste af enhver Llama-udgivelse, og angiver, at den passer p%C3%A5 en enkelt H100 med Int4-kvantisering. Den er udgivet under Llama 4 Community License, som bevarer t%C3%A6rsklen p%C3%A5 700M m%C3%A5nedlige aktive brugere.

## Specifikationer

- Udbyder
  Meta (US)
- Kontekstvindue
  10.5M
- Parametre
  108.64B
- 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/), [Resum%C3%A9](/da/tasks/summarization/), [Genfinding (RAG)](/da/tasks/rag/), [Flersproget support](/da/tasks/multilingual-support/)

## 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

- 10M-token context window, the longest published in the Llama line
- multimodal input with image grounding
- fits a single H100 at Int4 quantisation

#### Begr%C3%A6nsninger

- Llama 4 Community License, not an OSI licence
- 109B total parameters make full-precision serving expensive
- long-context quality at the 10M limit is not independently verified

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

### Is Llama 4 Scout 17B-16E 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 Scout 17B-16E Instruct released?

Llama 4 Scout 17B-16E 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 Scout 17B-16E Instruct, and what context window does it have?

Llama 4 Scout 17B-16E Instruct is recorded at 109B total, 17B active, 16 experts (safetensors total 108,641,793,536) (source: https://huggingface.co/api/models/meta-llama/Llama-4-Scout-17B-16E-Instruct), with a context window of 10485760 tokens (source: https://ai.meta.com/blog/llama-4-multimodal-intelligence/).

### 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-Scout-17B-16E-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-scout-17b-16e-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

- Published maximum context window (tokens): **10485760 (vendor-published)** [source](https://ai.meta.com/blog/llama-4-multimodal-intelligence/)

### Kilder

- [huggingface.co](https://huggingface.co/meta-llama/Llama-4-Scout-17B-16E-Instruct)
- [ai.meta.com](https://ai.meta.com/blog/llama-4-multimodal-intelligence/)

### 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

### Opgaver

- [Vision](/da/tasks/vision/)
- [Resum%C3%A9](/da/tasks/summarization/)