Explore Meta: Llama 3.2 90B Vision Instruct

Handle complex visual and language tasks with Llama 3.2 90B Vision.

Input: text · image Output: text Context: 32,768 tokens Release: 2024-09-25

Released on September 25, 2024, the Meta: Llama 3.2 90B Vision Instruct model is a powerful tool for handling complex visual reasoning and language tasks. With a context length of 32,768 tokens, it processes both text and images, outputting text responses. This multimodal model excels in tasks like image captioning and visual question answering, thanks to its extensive pre-training on diverse datasets and fine-tuning with human feedback. Designed for industries needing sophisticated AI for real-time visual and textual analysis, it offers a comprehensive solution for demanding image-based tasks.

Use Cases

Here are a few ways teams apply Meta: Llama 3.2 90B Vision Instruct in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Enhance image captioning accuracy

Improve visual question answering

Boost image-text comprehension

Support real-time visual analysis

Optimize complex AI tasks

Key Features

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

90 billion parameters for detailed analysis

Handles text and image inputs

Outputs high-quality text responses

Pre-trained on vast multimodal datasets

Fine-tuned with human feedback

32,768 token context window

Specs

Overview

Vendor
meta-llama

Model ID
meta-llama/llama-3.2-90b-vision-instruct

Release
2024-09-25

Modalities & context

Input
text · image

Output
text

Context
32,768 tokens

Parameters & defaults

Supported parameters: frequency_penalty, 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 90B 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 Artificial Intelligence (AI) is poised to revolutionize the fabric of work, leisure, and creativity. By automating mundane and repetitive tasks, AI can liberate professionals to focus on high-value tasks that require creativity, empathy, and problem-solving. This shift can lead to a more fulfilling and productive work experience. In leisure, AI-powered tools can curate personalized entertainment, travel, and educational experiences, enriching our downtime. Moreover, AI can become a collaborative partner in creative endeavors, such as art, music, and writing, augmenting human imagination and innovation. For instance, AI-generated suggestions can inspire new ideas, while AI-assisted tools can streamline the creative process. As AI assumes routine tasks, humans can devote more time to creative pursuits, fostering a culture of innovation and artistic expression. This synergy between humans and AI can unlock new frontiers in work, leisure, and creativity, leading to a more balanced and fulfilling life. By embracing AI, we can unlock new possibilities.

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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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