Explore Meta's Llama 3.2 11B Vision Instruct

Integrate visual and language processing seamlessly.

Input: text · image Output: text Context: 131,072 tokens Release: 2024-09-25

Discover Meta's Llama 3.2 11B Vision Instruct, a multimodal AI model released on September 25, 2024. With a context window of 131,072 tokens, this model processes both text and images to generate insightful text outputs. It excels in tasks like image captioning and visual question answering, making it suitable for industries needing robust visual and language integration. Designed with 11 billion parameters, it is pre-trained on extensive image-text datasets, enhancing its capability in detailed image analysis.

Use Cases

Here are a few ways teams apply Meta: Llama 3.2 11B Vision Instruct in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Enhance image captioning accuracy

Improve visual question answering

Support content creation with AI

Boost AI-driven customer service

Facilitate research with visual-linguistic data

Key Features

A quick look at the capabilities that make this model useful in real projects.

11 billion parameters for detailed analysis

Handles text and image inputs

Generates text outputs

Extensive 131,072 token context window

Pre-trained on image-text datasets

Specs

Overview

Vendor
meta-llama

Model ID
meta-llama/llama-3.2-11b-vision-instruct

Release
2024-09-25

Modalities & context

Input
text · image

Output
text

Context
131,072 tokens

Parameters & defaults

Supported parameters: frequency_penalty, logit_bias, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, temperature, top_k, top_p

Defaults: temperature 0.2, top_p 0.95

Benchmark tests: Meta: Llama 3.2 11B Vision Instruct

We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.

Text

Prompt:

Write 150 words on how AI might positively upend work, leisure and creativity

The integration of AI into various aspects of life could have a profound impact on work, leisure, and creativity. One potential benefit is the automation of mundane and repetitive tasks, freeing humans to focus on more complex and creative endeavors. AI-powered tools could also enhance productivity, allowing individuals to accomplish more in less time. In leisure, AI-driven entertainment options, such as personalized movies and music, could revolutionize the way we relax and enjoy ourselves. Additionally, AI-assisted creative tools could democratize access to artistic expression, enabling people to produce high-quality content without extensive training or experience. Furthermore, AI-driven platforms could facilitate new forms of collaboration and co-creation, enabling people to work together on projects that might have been impossible to undertake alone. Overall, AI has the potential to upend traditional notions of work, leisure, and creativity, leading to a more efficient, productive, and fulfilling life.

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Image

Prompt:

Generate an SVG of a pelican riding a bicycle.

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up.end

/ˌəpˈend/

verb

To “upend” means to completely disrupt, overturn, or drastically change the established order or structure of something. It implies a significant shift or alteration that can potentially have far-reaching consequences. When something is upended, it is turned upside down or transformed in a way that challenges conventional norms or expectations. The term often carries a sense of innovation, transformation, and sometimes even a hint of upheaval, indicating that the changes are not just minor adjustments but rather a fundamental reimagining of the status quo.

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