Model Library/Llama 4 Maverick Instruct
Llama

Llama 4 Maverick Instruct

meta-llama/llama-4-maverick-17b-128e-instruct-fp8
Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward pass (400B total). It supports multilingual text and image input, and produces multilingual text and code output across 12 supported languages. Optimized for vision-language tasks, Maverick is instruction-tuned for assistant-like behavior, image reasoning, and general-purpose multimodal interaction. Maverick features early fusion for native multimodality and a 1 million token context window. It was trained on a curated mixture of public, licensed, and Meta-platform data, covering ~22 trillion tokens, with a knowledge cutoff in August 2024. Released on April 5, 2025 under the Llama 4 Community License, Maverick is suited for research and commercial applications requiring advanced multimodal understanding and high model throughput.

功能

Serverless API

文档

meta-llama/llama-4-maverick-17b-128e-instruct-fp8 is available via Novita's serverless API, where you pay per token. There are several ways to call the API, including OpenAI-compatible endpoints with exceptional reasoning performance.

可用的 Serverless

立即运行查询,仅按用量付费

输入$0.27 / M Tokens
输出$0.85 / M Tokens

使用以下代码示例与我们的 API 集成:

1from openai import OpenAI
2
3client = OpenAI(
4    api_key="<Your API Key>",
5    base_url="https://api.novita.ai/openai"
6)
7
8response = client.chat.completions.create(
9    model="meta-llama/llama-4-maverick-17b-128e-instruct-fp8",
10    messages=[
11        {"role": "system", "content": "You are a helpful assistant."},
12        {"role": "user", "content": "Hello, how are you?"}
13    ],
14    max_tokens=8192,
15    temperature=0.7
16)
17
18print(response.choices[0].message.content)

信息

提供商
Llama
量化
fp8

支持的功能

上下文长度
1048576
最大输出
8192
Serverless
支持
Structured Output
支持
输入能力
text, image
输出能力
text

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