llama3.2-90b

Llama 3.2 90B Vision is Meta’s flagship multimodal language model, designed as an integrated intelligent engine that combines powerful visual understanding with versatile language capabilities.

• Native Multimodal Architecture: Deeply integrates visual and language modules, enabling it to understand and reason about image content without any additional adaptation.
• Ultra-Long Context Support: Supports up to 128K tokens of context, effortlessly handling long sequences that mix text and images.
• Extensive Multilingual Coverage: Supports over 100 languages, catering to the localized expression needs of global users in text-and-image scenarios.
• Efficient Inference Optimization: Achieves high throughput and low latency multimodal responses on mainstream GPUs such as A100 and H100.
• Agent-Ready Design: Supports structured outputs and tool calls, making it suitable for scenarios like visual question answering, content moderation, and creative assistance.

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Core Capabilities

👁️ Deep Visual Understanding: Not only can it recognize objects and scenes in images, but it can also reason about the relationships between text and images, interpret charts, and understand interface layouts.

🧠 Text-and-Image Joint Reasoning: Combines visual cues with textual instructions to accomplish complex tasks such as “writing code based on a screenshot” or “analyzing product images to generate copy.”

🌍 Multi-Language Text-and-Image Generation: Supports cross-language text-and-image description, translation, and creation, producing outputs that are both natural and culturally appropriate.

🧩 Seamless Agent Integration: Natively compatible with Function Calling and structured responses, allowing easy integration into automated multimodal workflows.