Title: Llama 4 Maverick 17 %E2%80%94 llama-4-maverick-17b-128e-instruct
Canonical: https://llmeu.com/ro/models/llama-4-maverick-17b-128e-instruct/
Markdown mirror: https://llmeu.com/ro/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](/ro/providers/meta/)

Ultima revizuire: 14 oct. 2026

## Suveranitate %C8%99i g%C4%83zduire

Acest model este catalogat ca referin%C8%9B%C4%83. Nu este g%C4%83zduit %C3%AEnc%C4%83 pe LLM EU %C8%99i niciun endpoint propriu nu %C3%AEl serve%C8%99te aici. Cererile c%C4%83tre el merg direct la furnizor, conform termenilor acelui furnizor.

## Rezumat

Llama 4 Maverick este modelul mai mare de tip mixture-of-experts Llama 4 al Meta: 17B parametri activi, 128 exper%C8%9Bi %C8%99i aproximativ 400B parametri totali, cu o fereastr%C4%83 de context publicat%C4%83 de 1M token-uri. Accept%C4%83 text %C8%99i imagini %C8%99i este pozi%C8%9Bionat pentru asisten%C8%9B%C4%83 general%C4%83 %C8%99i sarcini de %C3%AEn%C8%9Belegere a imaginilor. La fel ca Scout, este livrat sub licen%C8%9Ba Llama 4 Community License cu pragul de 700M utilizatori activi lunar.

## Specifica%C8%9Bii

- Furnizor
  Meta (US)
- Fereastr%C4%83 de context
  1.0M
- Parametri
  401.58B
- Modalit%C4%83%C8%9Bi
  text, vision
- Licen%C8%9B%C4%83
  other %C2%B7 [licence](https://www.llama.com/llama4/license/)
- Ponderi deschise
  yes
- Data lans%C4%83rii
  05 apr. 2025
- Sarcini
  [Viziune](/ro/tasks/vision/), [Ra%C8%9Bionament](/ro/tasks/reasoning/), [Suport multilingv](/ro/tasks/multilingual-support/), [Sumarizare](/ro/tasks/summarization/)

## Limbi

**Puternic:** en, de, fr, es, it, pt, hi

**Adecvat:** ar, id, th, tl, vi

#### Puternic

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

#### Adecvat

- ar
- id
- th
- tl
- vi

Neverificat: furnizorul nu a documentat aceast%C4%83 afirma%C8%9Bie. %E2%80%94 a language is listed as strong only where a source claims it; the card links the evidence where one exists.

## C%C3%A2nd se folose%C8%99te

#### Puncte forte

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

#### Limit%C4%83ri

- 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

## %C3%8Entreb%C4%83ri frecvente

### 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).

### Pre%C8%9Buri

Acest model este catalogat ca referin%C8%9B%C4%83. Nu este g%C4%83zduit %C3%AEnc%C4%83 pe LLM EU %C8%99i niciun endpoint propriu nu %C3%AEl serve%C8%99te aici. Cererile c%C4%83tre el merg direct la furnizor, conform termenilor acelui furnizor.

### Stare de verificare

Acolo unde un c%C3%A2mp nu are surs%C4%83, cardul %C3%AEl afi%C8%99eaz%C4%83 ca neverificat %C3%AEn loc s%C4%83 %C3%AEl completeze. Un c%C3%A2mp gol este informa%C8%9Bie.

LLM EU Verified %C3%AEnseamn%C4%83 documentat, nu certificat legal. Nu este o evaluare a conformit%C4%83%C8%9Bii cu AI Act %C8%99i LLM EU nu este un organism al UE.

### Versiuni %C8%99i variante

- catalogue %C2%B7 Doar %C3%AEn catalog %C2%B7 [weights](https://huggingface.co/meta-llama/Llama-4-Maverick-17B-128E-Instruct)

### Exemplu de cerere

```
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"}]}'
```

Nu exist%C4%83 un playground implementat pentru acest model: niciun punct final nu %C3%AEl serve%C8%99te, a%C8%99a c%C4%83 o cerere nu ar avea unde s%C4%83 ajung%C4%83.

### Benchmark-uri

Nicio evaluare publicat%C4%83. Aceasta este o lacun%C4%83, nu un rezultat ascuns.

### Surse

- [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)

### Istoric modific%C4%83ri fi%C8%99%C4%83

- 05 apr. 2025 %E2%80%94 Data lans%C4%83rii
- 14 oct. 2026 %E2%80%94 Ultima revizuire

Ultima revizuire: 14 oct. 2026