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Llama 4 Scout 17B 16E Instruct

Developed by chutesai
Llama 4 Scout is a 17B parameter/16-expert multimodal AI model from Meta, supporting 12 languages and image understanding with industry-leading performance.
Downloads 173.52k
Release Time : 4/5/2025

Model Overview

A native multimodal AI model featuring a mixture-of-experts architecture, supporting text and multimodal experiences, suitable for multilingual applications, conversational assistants, and visual reasoning scenarios.

Model Features

Multimodal Support
Supports both text and image inputs for cross-modal understanding and reasoning
Mixture-of-Experts Architecture
Features a 16-expert design with 17B active parameters and 109B total parameters, balancing performance and efficiency
Multilingual Capabilities
Natively supports 12 languages, with pretraining covering 200 languages, allowing developer extensions
Long Context Processing
Supports context windows up to 10M tokens, ideal for complex tasks

Model Capabilities

Multilingual text generation
Image understanding and captioning
Cross-modal reasoning
Code generation
Long-form text translation
Synthetic data generation

Use Cases

Commercial Applications
Multilingual Customer Support Assistant
Intelligent customer support system supporting 12 languages
Scored 31.5 on the TydiQA multilingual benchmark
Visual Reasoning
Image Content Analysis
Processes multiple images simultaneously for comparative analysis
Scored 89.4 on the DocVQA benchmark
Education & Research
Multilingual Teaching Tool
Generates multilingual teaching materials and exercises
Book translation achieved chrF scores of 42.2/36.6
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