Pixtral is REALLY Good - Open-Source Vision Model
TLDRMistral AI introduces Pixol 12b, an open-source multimodal vision model with impressive performance on vision tasks. Tested on Vulture's cloud GPUs, Pixol excels in image recognition, text tasks, and even solving captchas. Despite not excelling in logic or coding, its vision capabilities are outstanding, making it a strong candidate for specialized AI applications. Vulture's sponsorship facilitates easy model testing and showcases the potential of cloud-based AI solutions.
Takeaways
- 🌐 Mistral AI released Pixol 12b, a new open-source Vision model.
- 🔗 The model is available on Vulture, a cloud platform for renting GPUs.
- 📝 Pixol 12b is licensed under Apache 2.0 and is trained on image and text data.
- 🏅 It shows strong performance in multimodal tasks and excels at following instructions.
- 📊 Pixol 12b outperforms other models in benchmarks for both vision and text tasks.
- 💻 The model is hosted on an Nvidia L40 GPU and accessed via an open AI compliant API.
- 📝 It can accurately describe images, identify celebrities, and solve captchas.
- 📈 Pixol 12b provides precise answers to questions about iPhone storage from a screenshot.
- 😄 The model explains a meme effectively, highlighting the difference between startups and big companies.
- 🔍 It struggles with QR code recognition, failing to identify the URL from a QR code.
- 📊 Pixol 12b successfully converts a table screenshot into a CSV format.
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.
What is the significance of the Apache 2.0 license for Pixol 12b?
-The Apache 2.0 license indicates that Pixol 12b is open-source, allowing users to freely use, modify, and distribute the model, which fosters collaboration and innovation within the AI community.
How does Pixol 12b perform on benchmarks?
-Pixol 12b shows strong performance across various benchmarks, outperforming other models like Lava, Quen, Gemini Flash 8B, CLA 3 Haiku, and more.
What kind of tasks can Pixol 12b perform?
-Pixol 12b can perform a variety of vision tasks, including image description, celebrity recognition, solving captchas, and analyzing screenshots for information.
What is Vulture and how does it relate to Pixol 12b?
-Vulture is a cloud platform that provides easy access to rent GPUs. In the script, Vulture is used to host the Pixol 12b model, showcasing its ease of use and the capability to handle AI models that require significant computational resources.
How does Pixol 12b handle text tasks?
-While Pixol 12b is primarily a vision model, it can also perform text tasks, although it may not excel in logic and reasoning compared to specialized models.
What is the parameter count of Pixol 12b?
-Pixol 12b is a 12 billion parameter multimodal decoder based on MRAW.
What is the context window size for Pixol 12b?
-Pixol 12b supports a long context window of 128,000 tokens.
Can Pixol 12b identify celebrities from images?
-Yes, Pixol 12b can identify celebrities, as demonstrated by its ability to recognize Bill Gates from a provided image.
How does Pixol 12b handle CAPTCHAs?
-Pixol 12b can solve CAPTCHAs quickly and accurately, identifying the distorted letters in the challenge.
What is the future of AI models according to the script?
-The script suggests that the future of AI models may involve using specialized models for specific tasks, such as using Pixol for vision tasks and other models for logic, reasoning, or complex queries.
Outlines
🤖 Introduction to Pixol 12b Model
The video introduces Pixol 12b, a new open-source multimodal vision model by Mistral AI. The model is sponsored by Vulture, a cloud service providing easy access to rent GPUs. Vulture offers Nvidia GPUs, virtual CPUs, bare metal servers, Kubernetes, storage, and networking solutions. Viewers are encouraged to use the code 'Burman300' for $300 of free credit. The script discusses the initial release of Pixol 12b, which was mysteriously announced with only a torrent link. After downloading, it was identified as a vision model. The model is licensed under Apache 2.0, trained with image and text data, and performs well on multimodal tasks. It also excels at following instructions and has state-of-the-art performance on text-only benchmarks. The model is a 12 billion parameter multimodal decoder based on mRAW Nemo, supports variable image sizes and aspect ratios, and can handle multiple images in a long context window of 128,000 tokens. The video will test the model on various vision and text tasks.
🖼️ Testing Pixol 12b's Vision Capabilities
The script describes a series of tests conducted on Pixol 12b to evaluate its vision capabilities. The model is loaded on an Nvidia L40 GPU using Vulture's services and an open AI compliant API. The tests include image description, celebrity recognition, solving captchas, and analyzing iPhone storage screenshots. Pixol 12b performs exceptionally well in these tasks, providing accurate and fast responses. It can describe images, identify Bill Gates, solve captchas, and answer questions about app storage usage. However, it struggles with logic and reasoning tasks, such as writing a game in Python. The video also discusses the future of AI models, suggesting a trend towards smaller, specialized models for specific tasks.
🔍 Advanced Tests and Conclusion
The video continues with more advanced tests for Pixol 12b, including identifying non-downloaded apps, explaining memes, converting a table screenshot to CSV, and generating HTML code from a sketch. The model performs well in these tasks, accurately identifying apps, explaining the meme's humor, and generating correct CSV and HTML code. However, it fails to locate Waldo in a 'Where's Waldo' puzzle, instead explaining how to find him. The video concludes by praising Pixol 12b as an extremely capable vision model and encourages viewers to check it out. Vulture is thanked again for sponsoring the video, and the offer of $300 off with the code 'Burman300' is reiterated. The video ends with a call to action for likes and subscriptions.
Mindmap
Keywords
💡Pixol 12b
💡Multimodal
💡Mistral AI
💡Vulture
💡Open-Source
💡Vision Model
💡Benchmarks
💡API
💡GPU
💡Instruction Following
💡State-of-the-Art
Highlights
Mistral AI has released Pixol 12b, a new open-source Vision model.
Pixol 12b is a multimodal model tested for various capabilities.
Vulture赞助了视频并提供了GPU云租赁服务。
Pixol 12b是在Apache 2.0许可下发布的。
模型在图像和文本数据上进行了交错训练。
Pixol 12b在多模态任务上表现出色。
模型在文本基准测试中达到了最先进的性能。
Pixol 12b是一个基于Mraw Nemo的120亿参数多模态解码器。
模型支持可变图像大小和长上下文窗口。
Pixol 12b在基准测试中表现优于其他模型。
模型在Vulture上运行简单且高效。
Pixol 12b能够快速准确地描述图像内容。
模型能够识别名人，如比尔·盖茨。
Pixol 12b能够解决CAPTCHA挑战。
模型能够准确分析手机存储使用情况。
Pixol 12b能够识别未下载的应用程序。
模型能够解释梗图并理解其幽默之处。
未来可能会有更多专门化的小型模型。
Vulture是扩展AI应用和获取GPU的好选择。
Pixol 12b能够将表格截图转换为CSV格式。
模型能够根据草图生成HTML代码。
Pixol 12b能够定位并描述'Where's Waldo'场景中的角色位置。