Dolphin Vision 72b

Table of Contents

Model Overview

Meet the DolphinVision 72b model! This AI model is a game-changer, capable of understanding and generating text and images. But what makes it so special?

The DolphinVision 72b model is a multimodal model, which means it can handle both text and images. It’s like having a superpower that lets you describe and understand visual content like never before! Unlike other popular models, DolphinVision 72b is uncensored, giving you honest and unbiased responses. It’s not afraid to comment on images that might be considered sensitive or controversial.

Tasks and rank

Visual Question Answering (VQA) 12th

Object Detection 13th

Image Recognition 40th

Image Generation 35th

Image Captioning 14th

Learn More About the Ranking System

Capabilities

The DolphinVision 72b model is a powerful multimodal AI that can handle a wide range of tasks. It’s capable of understanding and generating text, as well as analyzing and commenting on images.

Multimodal Capabilities

The DolphinVision 72b model can process both text and images together, making it a unique model in the AI landscape. This means it can:

• Describe images in detail
• Answer questions about images
• Generate text based on images
• Even perform tasks like OCR (Optical Character Recognition) on images

Uncensored and Unconventional

Unlike some other models, DolphinVision 72b is uncensored, which means it can handle images and topics that other models might object to. This makes it a great choice for tasks that require a more open-minded approach.

Reasoning and Commentary

The DolphinVision 72b model is not just limited to generating text or analyzing images. It can also reason and comment on the content it’s given. This means it can provide insightful and thought-provoking responses to complex topics.

Performance

The DolphinVision 72b model is a powerful AI that showcases remarkable performance in various tasks. Let’s dive into its speed, accuracy, and efficiency.

Speed

How fast can DolphinVision 72b process images and generate text? With its ability to utilize 8xH100 nodes for training and 8x mi300x nodes for evaluations and inference, this model can handle large-scale tasks with ease. Its speed is particularly notable when processing images, making it an excellent choice for applications that require quick image analysis.

Accuracy

But how accurate is DolphinVision 72b in its tasks? Let’s look at some benchmarks:

Benchmark	DolphinVision 72b	==GPT-4V==
VQA v2	83.6	84.4
MMBench	81.2	78.1
MMMU (Eval)	45.7	52.4
MathVista	47.25	-
RealWorldQA	66.4	67.9

As you can see, DolphinVision 72b holds its own against ==GPT-4V==, a well-known AI model. While it may not be the top performer in every benchmark, its accuracy is consistently high across various tasks.

Efficiency

DolphinVision 72b is not only fast and accurate but also efficient. Its ability to process images and generate text using a multimodal approach makes it an excellent choice for applications that require a balance of speed and accuracy.

Alternatives

MMDetection 28300 Object detection toolbox

MediaPipe Objectron 26000 3D object detection

MediaPipe Holistic 26000 Full-body landmark detection

Grounded SAM 13900 Visual task model

Blip Image Captioning Large 1104 Image captioning

Example Use Cases

• Image description: Provide an image and ask DolphinVision 72b to describe it in detail.
• OCR: Give DolphinVision 72b an image with text and ask it to extract the text.
• Satirical commentary: Provide an image and ask DolphinVision 72b to generate a satirical commentary on the topic.

Limitations

DolphinVision 72b is a powerful multimodal model, but it’s not perfect. Let’s talk about some of its limitations.

Uncensored, but not always accurate

As an uncensored model, DolphinVision 72b can generate text about images that other models might object to. However, this also means it may produce inaccurate or biased results, especially if the training data is limited or biased.

Reasoning and commenting challenges

While DolphinVision 72b can reason and comment on images, it may struggle with complex or abstract concepts. For example, it might not fully understand the satire in the example text about Docker. How well do you think DolphinVision 72b would perform on images with subtle humor or irony?

Limited domain knowledge

DolphinVision 72b has been trained on a wide range of data, but it’s not an expert in every domain. If you ask it to describe an image with specialized knowledge, such as a medical or technical diagram, it might not provide accurate or detailed information.

Examples

Describe this image in detail <image> photo of a cat sitting on a desk with a laptop open The image depicts a domestic cat sitting on a desk, with a laptop open in front of it. The cat appears to be looking at the laptop screen with interest. The laptop screen displays a web page with a few open tabs. The desk is cluttered with papers, pens, and other office supplies. The background is a blurred office environment.

Do OCR on the text in this image <image> photo of a whiteboard with handwritten notes The text in the image reads as follows: Meeting Notes - Project Discussion - Action Items: John, please follow up with marketing team. Sarah, please review the design documents. Next meeting scheduled for Friday at 2 PM.

Answer this question based on the image <image> photo of a map with several locations marked What is the shortest route between New York and Los Angeles? According to the map, the shortest route would be to take the I-80 W highway, which spans approximately 2,796 miles and takes around 40 hours of driving time.

Getting Started

To use DolphinVision 72b, you’ll need to:

1. Install the required libraries, including torch and transformers.
2. Load the model using the AutoModelForCausalLM class.
3. Prepare your input data, including text prompts and images.
4. Use the generate method to generate text based on your input.

Note: Make sure to check the model’s documentation and code examples for more information on how to use DolphinVision 72b.