Llama 3.2 11B Vision Instruct

Name: Llama 3.2 11B Vision Instruct
Author: Meta AI

by Meta AILlama 3.2

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released September 2024128K context≈ 96,000 words11B params

A mid-sized multimodal model that can read and reason about images alongside text. It handles visual questions, image descriptions, and document understanding without requiring massive compute to run. As an open-weight model, it can be deployed locally, though its 11B parameter scale means it trades some raw capability for accessibility and efficiency.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Instruction Following

Moderate

Tool Use

Llama 3.2 11B Vision Instruct

by Meta AILlama 3.2

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released September 2024128K context≈ 96,000 words11B params

A mid-sized multimodal model that can read and reason about images alongside text. It handles visual questions, image descriptions, and document understanding without requiring massive compute to run. As an open-weight model, it can be deployed locally, though its 11B parameter scale means it trades some raw capability for accessibility and efficiency.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Instruction Following

Moderate

Tool Use

Glossary

AccessibilityDesigning technology so people with disabilities can use it effectively.Document UnderstandingThe ability to read and extract meaningful information from structured documents like receipts, invoices, and forms by recognizing both text and layout.MultimodalA model that can process and understand multiple types of input, such as both text and images.Multimodal ModelAn AI model that can process and understand multiple types of input data, such as video, images, and text together.Open-Weight ModelA model whose trained weights are publicly released, allowing anyone to download and run it locally.Parameter ScaleThe total number of trainable weights in a model, often expressed in billions (B); larger models generally have more capacity but require more computing power.

Capabilities

Capabilities

Use Case Fit

Glossary