Llama-4-Scout-17B-16E-Instruct

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About this model

Llama 4 is intended for commercial and research use in multiple languages. Instruction tuned models are intended for assistant-like chat and visual reasoning tasks, whereas pretrained models can be adapted for natural language generation. For vision, Llama 4 models are also optimized for visual recognition, image reasoning, captioning, and answering general questions about an image. The Llama 4 model collection also supports the ability to leverage the outputs of its models to improve other models including synthetic data generation and distillation.

Key model capabilities

• Multilingual text processing in Arabic, English, French, German, Hindi, Indonesian, Italian, Portuguese, Spanish, Tagalog, Thai, and Vietnamese
• Visual recognition and image reasoning
• Image captioning and answering general questions about an image
• Assistant-like chat capabilities
• Natural language generation
• Code generation
• Synthetic data generation and distillation
• Long context processing (up to 10M tokens for Scout, 1M tokens for Maverick)
• Multi-image understanding (tested up to 5 input images)