Llama 3.2 11B Vision Instruct

About Llama 3.2 11B Vision Instruct

Llama 3.2 11B Vision Instruct is Meta's efficient multimodal model, delivering vision-language capability in a practical package. With 11 billion parameters, it processes text and images while remaining deployable on consumer hardware and affordable cloud instances. The model excels at image description, basic visual question answering, and document understanding tasks. Llama 3.2 11B Vision features efficient architecture that enables real-time multimodal applications without premium compute costs. Its open weights allow fine-tuning for specific visual domains and on-premise deployment. The model is ideal for applications requiring vision capability without the resources needed for larger multimodal models. For developers building multimodal features with limited resources, Llama 3.2 11B Vision provides accessible entry to vision-language AI. It's particularly valuable for mobile applications, edge deployment, and cost-sensitive production systems.

Model Specifications

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

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🚀 Quick Start

Get started with Llama 3.2 11B Vision Instruct API

from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="meta-llama/llama-3.2-11b-vision-instruct",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

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