Pixtral is REALLY Good - Open-Source Vision Model
TLDRMistral AI introduces Pixol 12b, a new open-source multimodal vision model with impressive performance on various vision tasks. Tested on Vulture, a cloud GPU rental service, Pixol 12b excels in image description, celebrity recognition, and solving captchas. It also handles text tasks like counting letters and identifying the most storage-consuming app. Despite challenges with logic and coding, its vision capabilities are top-notch, making it a strong candidate for specialized AI tasks.
Takeaways
- 🌐 Mistral AI released Pixol 12b, a new open-source multimodal vision model.
- 🔗 The model is available for testing on Vulture, a cloud GPU rental service.
- 🎁 Vulture offers $300 of free credit with the code 'Burman300'.
- 📝 Pixol 12b is licensed under Apache 2.0 and is trained with both image and text data.
- 🏆 It shows strong performance on multimodal tasks and excels in instruction following.
- 📊 The model achieves state-of-the-art performance on text-only benchmarks.
- 🧠 Pixol 12b is a 12 billion parameter model based on mRAW Nemo.
- 🖼️ It supports variable image sizes and aspect ratios, and can handle multiple images.
- 📈 In benchmarks, Pixol 12b outperforms other models like LAVA, Quen, Gemini Flash, and CLA 3 Haiku.
- 💻 The model was easily loaded onto an Nvidia L40 GPU using Vulture's service and an open AI compliant API.
- 📝 The model demonstrated impressive capabilities in vision tasks such as image description, celebrity recognition, and solving captchas.
Q & A
What is Pixol 12b?
-Pixol 12b is a new open-source Vision model released by Mistral AI. It is a multimodal model trained with interleaved image and text data, and it excels in multimodal tasks and instruction following.
What is the license of Pixol 12b?
-Pixol 12b is licensed under the Apache 2.0 license, which allows for open-source usage.
How many parameters does Pixol 12b have?
-Pixol 12b is a 12 billion parameter multimodal decoder based on mRAW.
What kind of performance does Pixol 12b have on text-only benchmarks?
-Pixol 12b has state-of-the-art performance on text-only benchmarks.
What is Vulture, as mentioned in the script?
-Vulture is a platform that provides easy access to rent GPUs in the cloud, offering Nvidia GPUs, virtual CPUs, bare metal, Kubernetes, storage, and networking solutions.
What kind of tasks is Pixol 12b tested on in the video?
-Pixol 12b is tested on a variety of tasks including vision tasks, text tasks, solving captchas, and recognizing celebrities.
What is the significance of the benchmark chart mentioned in the script?
-The benchmark chart compares Pixol 12b with other models like LAVA, Que, Gemini Flash 8B, and CLA 3 Haiku, showing Pixol 12b's superior performance across the board.
How does the presenter describe the process of loading Pixol 12b on Vulture?
-The presenter describes the process of loading Pixol 12b on Vulture as dead simple, mentioning that it was hosted on an Nvidia L40 with 48 GB of VRAM and using an open AI compliant API.
What is the presenter's opinion on the future of AI models after testing Pixol 12b?
-The presenter believes that the future will involve many smaller specialized models, each optimized for specific tasks such as vision or logic reasoning.
What is the discount code provided for Vulture in the script?
-The discount code provided for Vulture is 'Burman300', which offers $300 of free credit.
How does the presenter summarize Pixol 12b's capabilities after conducting various tests?
-The presenter summarizes Pixol 12b as an extremely capable Vision model by Mistral AI, particularly excelling in vision tasks, and encourages viewers to check it out.
Outlines
🎉 Introducing Pixol 12B: A New Multimodal Vision Model
Mistral AI has released Pixol 12B, a cutting-edge open-source multimodal vision model. This video introduces the model, explains its capabilities, and provides a hands-on test. The model, hosted on Vultr (which is also the sponsor of the video), is integrated into a cloud GPU using Open Web UI. The speaker highlights the model’s Apache 2.0 license and its performance on multimodal tasks, excelling in both image and text-based benchmarks. Pixol 12B features a 128,000 token context window and supports variable image sizes and multiple images in a single task.
📊 Benchmarking Pixol 12B Against Other Models
A performance comparison is shown between Pixol 12B and other popular models like Lava, Quen, and Gemini Flash. The speaker points out Pixol's superior performance across various benchmarks, especially in vision tasks. The model is hosted on an Nvidia L40 GPU with 48GB of VRAM, using an OpenAI-compatible API, and tests begin with basic Python tasks like writing a Tetris game. While Pixol struggles with complex logic and reasoning, it excels in vision-based tasks, providing fast and accurate responses in real-time.
🦙 Impressive Image Recognition and Celebrity Identification
Pixol 12B is tested on its ability to describe images and recognize celebrities. It successfully identifies a llama in a field and accurately describes an image of Bill Gates, identifying him with detailed accuracy. Pixol also proves its capability in solving CAPTCHA challenges, performing admirably where other models have failed. Further tests involve analyzing an iPhone storage screenshot, where Pixol delivers perfect results in identifying storage details, although it struggles to recognize which apps are not installed.
🤖 Handling Complex Image-Based Queries with Pixol 12B
The model is tested with more complex tasks, such as interpreting a meme about startups versus big companies and explaining it correctly, capturing both the visual and humorous aspects of the meme. The speaker emphasizes the future potential of using multiple specialized models for different tasks. Pixol 12B is praised for its vision capabilities, though it is noted that it is less effective at logic and reasoning. The speaker underscores the benefits of using smaller, specialized models for specific use cases.
🔍 Additional Vision Tasks: QR Codes, Tables, and App Prototypes
The speaker continues testing Pixol 12B with new challenges, such as reading QR codes (which no model has yet succeeded in doing), converting tables into CSV format, and generating HTML code from sketches of potential app designs. Pixol performs well in converting tables and interpreting app designs, although the HTML results are not perfect. Overall, it proves to be highly capable, especially for tasks that require understanding and generating structured outputs from visual inputs.
👀 Where’s Waldo? Pixol 12B’s Search Capabilities
Pixol is tested with a 'Where's Waldo?' puzzle. While initially providing general instructions on how to find Waldo, the model successfully identifies his location when asked to use a coordinate system. Despite the image being low-resolution, Pixol manages to point out the exact location, demonstrating its impressive image analysis skills. The video concludes with a positive review of Pixol's overall capabilities, especially in handling visual tasks with ease and precision.
💡 Final Thoughts: The Future of AI Models and Thanks to Vultr
The speaker concludes by reflecting on the future of AI, suggesting that specialized models like Pixol 12B will be used for specific tasks, ensuring efficiency and low latency. Although Pixol isn’t perfect in logic and reasoning, its strength lies in vision tasks. The video ends with a shout-out to Vultr for sponsoring the model hosting and a recommendation for viewers to try Vultr’s GPU services using a promotional code for $300 in free credits.
Mindmap
Keywords
💡Pixol 12b
💡Multimodal
💡Vulture
💡Nvidia l40
💡Open AI compliant API
💡Instruction following
💡Benchmarks
💡Vision tasks
💡Text tasks
💡Specialized models
Highlights
Mistral AI releases Pixol 12b, a new open-source Vision model.
Pixol 12b is a multimodal model trained with image and text data.
Pixol 12b is licensed under Apache 2.0.
Pixol 12b excels in multimodal tasks and instruction following.
Pixol 12b achieves state-of-the-art performance on text-only benchmarks.
Pixol 12b is a 12 billion parameter model based on mRAW.
Pixol 12b supports variable image sizes and aspect ratios.
Pixol 12b can handle multiple images in a long context window of 128,000 tokens.
Pixol 12b outperforms other models in benchmarks.
Pixol 12b is hosted on Vulture, a cloud GPU rental service.
Vulture offers Nvidia GPUs, virtual CPUs, and other cloud services.
Pixol 12b is loaded on an Nvidia L40 with 48 GB of VRAM.
Pixol 12b is accessible via an open AI compliant API and open web UI.
Pixol 12b accurately describes images, such as a picture of a llama.
Pixol 12b successfully identifies Bill Gates in a photo.
Pixol 12b solves a CAPTCHA challenge with high accuracy.
Pixol 12b provides detailed analysis of iPhone storage screenshots.
Pixol 12b fails to recognize an app not downloaded on a phone by its cloud icon.
Pixol 12b explains a meme comparing startups and big companies.
Pixol 12b's vision capabilities are praised for their excellence.
Vulture is recommended for loading models that require more resources than a local machine can provide.
Pixol 12b is encouraged for use in vision tasks due to its high performance.