Introducing **Llama 4**, the next-gen, open-source AI models designed for versatility and efficiency. With options like **Llama 4 Maverick** and **Llama 4 Scout**, developers have the power to fine-tune, distill, and deploy AI easily across various applications.

What are the features of Llama?

* **Native Multimodality**: All Llama 4 models come equipped with the ability to understand both text and images natively, making them smarter and more versatile than ever. * **Unparalleled Long Context**: **Llama 4 Scout** supports **up to 10 million tokens** of context, perfect for working with lengthy documents and complex ideas. * **Expert Image Grounding**: These models excel at connecting user prompts with visual elements, enhancing interaction accuracy. * **Multilingual Writing**: Outfitted for use across **12 languages**, Llama 4 models adapt easily for global audiences. * **Cost Efficiency**: Optimal performance at a low cost, allowing for scalable applications.

What are the use cases of Llama?

* **Content Creation**: Create detailed articles or reports seamlessly, thanks to the extended context capabilities. * **Image Analysis**: Efficiently dissect and analyze images paired with text for better understanding. * **Multilingual Applications**: Build apps that can cater to users speaking different languages effortlessly.

* **Download the Models**: Start by downloading your chosen Llama 4 model from our collection. * **Fine-Tuning**: Customize the model for your specific needs using our provided guides. * **Deploy**: Set the model up for usage in your applications, leveraging our documentation for integration.

What are the main differences between Llama 4 Maverick and Llama 4 Scout?

**Llama 4 Maverick** is tailored for industry-leading multimodal use with a focus on text and images, while **Llama 4 Scout** excels in long context analysis and visual intelligence.