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Model details

Llama 4 Maverick 17b 128e Instruct

Llama 4 Maverick is a general-purpose multimodal model built on a mixture-of-experts architecture that activates a subset of its 128 expert pathways during inference, allowing it to balance broad capability with efficient operation at its 17B active parameter scale. This design makes it particularly well-suited for tasks that demand both nuanced language understanding and visual comprehension, spanning high-quality conversational interactions, creative writing assistance, and precise image analysis. The model's multilingual foundation extends its usefulness across diverse language tasks, while its general-purpose nature means it can adapt to a wide range of application scenarios rather than being narrowly optimized for a single domain.

The model has undergone conversational fine-tuning to strengthen its performance in chat-oriented and assistant-style applications, with particular emphasis on maintaining coherent multi-turn dialogues and generating responses that feel natural and contextually appropriate. Its design philosophy prioritizes practical utility for developers building AI-powered applications, from chatbots to image-understanding workflows, combining the strengths of Meta's Llama lineage with modern multimodal capabilities. The availability of open weights enables researchers and developers to deploy, fine-tune, and experiment with the model in commercial or research settings, supporting customization for specific use cases while benefiting from the robust foundation established during its pre-training phase.

Nvidiameta/llama-4-maverick-17b-128e-instructdeprecated

Quick Info

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Provider
Nvidia
Model key
meta/llama-4-maverick-17b-128e-instruct
Release date
Apr 1, 2025
Last updated
Apr 1, 2025
Knowledge cutoff
2024-02
Input modalities
Output modalities
Capabilities

Cost

A provider subscription or plan supersedes token-based pricing for this model.

Limits

Output tokens
4,096 tokens
Context window
128,000 tokens

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