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Llama 4 Scout 17B 16E Unsloth

Developed by unsloth
Llama 4 Scout is a 17-billion-parameter multimodal AI model developed by Meta, featuring a Mixture of Experts architecture with support for 12 languages and image understanding.
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Release Time : 4/6/2025

Model Overview

A multimodal large language model based on the Llama 4 series, capable of text and image understanding, suitable for complex task processing in multilingual scenarios.

Model Features

Multimodal Support
Processes both text and image inputs for cross-modal understanding
Mixture of Experts Architecture
16-expert system enables efficient computational resource allocation
Ultra-Long Context
Supports context lengths of up to 10M tokens
Dynamic Quantization
Unsloth's dynamic 4-bit quantization significantly improves low-precision model accuracy

Model Capabilities

Multilingual text generation
Image content understanding
Cross-modal reasoning
Long document processing
Instruction following

Use Cases

Content Creation
Multilingual Content Generation
Automatically generates marketing copy in 12 languages
Supports global content strategies for brands
EdTech
Textbook Image-Text Understanding
Analyzes textbook images and text to generate study guides
69.4% accuracy on MMMU benchmark
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