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

Paskutin%C4%AF kart%C4%85 per%C5%BEi%C5%ABr%C4%97ta: 2026-10-14

## Suverenitetas ir talpinimas

%C5%A0is modelis yra kataloge tik nuorodai. Jis dar n%C4%97ra talpinamas LLM EU, ir joks pirmosios %C5%A1alies galinis ta%C5%A1kas jo neaptarnauja. U%C5%BEklausos jam siun%C4%8Diamos tiesiogiai teik%C4%97jui, pagal to teik%C4%97jo s%C4%85lygas.

## Santrauka

Llama 4 Maverick yra didesnis Meta Llama 4 ekspert%C5%B3 mi%C5%A1inio modelis: 17 mlrd. aktyvi%C5%B3 parametr%C5%B3, 128 ekspertai ir apie 400 mlrd. bendr%C5%B3 parametr%C5%B3, su paskelbtu 1 mln. %C5%BEeton%C5%B3 konteksto langu. Jis apdoroja tekst%C4%85 ir vaizdus ir yra skirtas bendram asistento ir vaizd%C5%B3 supratimo darbui. Kaip ir Scout, jis tiekiamas pagal Llama 4 bendruomen%C4%97s licencij%C4%85 su 700 mln. m%C4%97nesio aktyvi%C5%B3 vartotoj%C5%B3 riba.

## Specifikacijos

- Teik%C4%97jas
  Meta (US)
- Konteksto langas
  1.0M
- Parametrai
  401.58B
- Modalumai
  text, vision
- Licencija
  other %C2%B7 [licence](https://www.llama.com/llama4/license/)
- Atvirieji svoriai
  yes
- I%C5%A1leidimo data
  2025-04-05
- U%C5%BEduotys
  [Vizija](/lt/tasks/vision/), [M%C4%85stymas](/lt/tasks/reasoning/), [Daugiakalbis palaikymas](/lt/tasks/multilingual-support/), [Apibendrinimas](/lt/tasks/summarization/)

## Kalbos

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

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

#### Stipri

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

#### Pakankama

- ar
- id
- th
- tl
- vi

Nepatvirtinta: teik%C4%97jas nepagrind%C4%97 %C5%A1io teiginio. %E2%80%94 a language is listed as strong only where a source claims it; the card links the evidence where one exists.

## Kada naudoti

#### Stipryb%C4%97s

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

#### Apribojimai

- 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

## Da%C5%BEniausiai u%C5%BEduodami klausimai

### 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).

### Kainodara

%C5%A0is modelis yra kataloge tik nuorodai. Jis dar n%C4%97ra talpinamas LLM EU, ir joks pirmosios %C5%A1alies galinis ta%C5%A1kas jo neaptarnauja. U%C5%BEklausos jam siun%C4%8Diamos tiesiogiai teik%C4%97jui, pagal to teik%C4%97jo s%C4%85lygas.

### Patvirtinimo b%C5%ABsena

Kai laukas neturi %C5%A1altinio, kortel%C4%97je jis rodomas kaip nepatikrintas, o ne u%C5%BEpildomas. Tu%C5%A1%C4%8Dias laukas yra informacija.

LLM EU Verified rei%C5%A1kia dokumentuota, o ne teisi%C5%A1kai sertifikuota. Tai n%C4%97ra AI akto atitikties vertinimas, ir LLM EU n%C4%97ra ES institucija.

### Versijos ir variantai

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

### U%C5%BEklausos pavyzdys

```
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"}]}'
```

%C5%A0iam modeliui n%C4%97ra %C4%AFdiegta bandym%C5%B3 aik%C5%A1tel%C4%97: joks galinis ta%C5%A1kas jo neaptarnauja, tod%C4%97l u%C5%BEklausa netur%C4%97t%C5%B3 kur nueiti.

### Etaloniniai testai

N%C4%97ra paskelbto vertinimo. Tai spraga, o ne pasl%C4%97ptas rezultatas.

### %C5%A0altiniai

- [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)

### Kortel%C4%97s pakeitim%C5%B3 %C5%BEurnalas

- 2025-04-05 %E2%80%94 I%C5%A1leidimo data
- 2026-10-14 %E2%80%94 Paskutin%C4%AF kart%C4%85 per%C5%BEi%C5%ABr%C4%97ta

Paskutin%C4%AF kart%C4%85 per%C5%BEi%C5%ABr%C4%97ta: 2026-10-14