--- license: gemma language: - en pipeline_tag: image-text-to-text --- # Cerule - A Tiny Mighty Vision Model ### Based on Google's - Gemma-2b + SigLIP ``` ██████╗███████╗██████╗ ██╗ ██╗██╗ ███████╗ ██╔════╝██╔════╝██╔══██╗██║ ██║██║ ██╔════╝ ██║ █████╗ ██████╔╝██║ ██║██║ █████╗ ██║ ██╔══╝ ██╔══██╗██║ ██║██║ ██╔══╝ ╚██████╗███████╗██║ ██║╚██████╔╝███████╗███████╗ ╚═════╝╚══════╝╚═╝ ╚═╝ ╚═════╝ ╚══════╝╚══════╝ ``` We train and release "Cerule", a tiny yet powerful Vision Lanuage Model based on the newly released Google's [Gemma-2b](https://huggingface.co/google/gemma-2b) and Google's [SigLIP](https://huggingface.co/google/siglip-so400m-patch14-384). We utilise highly efficient data selection techniques with: ``` - Pretraining stage : 650K images (A LAION Subset) - Finetuning stage : 695K images (SVIT-mix-665K modified for finetuning(Dataset SOON!)) ``` The training setup was `4xA100's 80GB` and took ~6 hours to pretrain and ~13 hours to finetune. We modify and adapt the training code from [LLaVA](https://github.com/haotian-liu/LLaVA). 🚨 Training code, Data and more details to release soon! --- | Image | Example | |-------|---------| | ![astronaut](examples/astronaut.png) | **Describe the image**
The image is a playful and surreal depiction of a man in a space suit, sitting on a chair and holding a green beer bottle. The man is wearing a white space suit, complete with a helmet and gloves. His feet are clad in black and white shoes, and he is placed on a sandy surface. The background features a large, blue planet, with a moon and a star visible in the sky. | | ![mario](examples/mario.png) | **Who are the characters in the image?**
The image features three characters, two of them are Mario and Luigi, and the third one is Yoshi.

**Describe the actions of the characters**
The Mario and Luigi characters are holding their arms out, as if they are waving. Yoshi is standing on its own, with its arms folded. | | ![extreme_ironing](examples/extreme_ironing.jpg) | **What's funny about this image?**
The image is quite humorous as it depicts a man ironing clothes on the back of a yellow taxi cab. This is not a typical sight you'd expect to see in everyday life. | --- ## Installing requirements ``` pip install -qr https://huggingface.co/Tensoic/Cerule-v0.1/resolve/main/requirements.txt ``` ## Training: We will release the training code in some time. ### Inference: Clone the following repo and following instructions for a CLI based inference. https://github.com/Tensoic-AI/Cerule ## License Model subject to Gemma(base model license) terms of use along with the underlying datasets(LAOIN and SVIT) subject to their respective licenses. All codes are Apache 2.0