--- license: mit language: - tr pipeline_tag: image-text-to-text tags: - Turkish - turkish - LLaVA datasets: - liuhaotian/LLaVA-CC3M-Pretrain-595K --- # Llava-CosmosLlama This is a Turkish visual language model designed for multi-modal visual instruction-following tasks. It utilizes the LLaVA (Large Language and Vision Assistant) architecture, integrating the `ytucosmos/Turkish-Llama-8b-Instruct-v0.1` language model. The model is capable of processing both visual (image) and textual inputs, allowing it to understand and execute instructions provided in Turkish. # Model Details The model was pretrained on **[LLaVA-CC3M-Pretrain-595K](https://huggingface.co/datasets/liuhaotian/LLaVA-CC3M-Pretrain-595K)** dataset, which was translated to Turkish using DeepL Translate.
It was further fine-tuned using subsets the following datasets to enhance its visual reasoning and understanding capabilities: - **[Stanford GQA](https://cs.stanford.edu/people/dorarad/gqa/about.html)** - **[VisualGenome](https://homes.cs.washington.edu/~ranjay/visualgenome/index.html)** - **[COCO](https://cocodataset.org/#home)** - **110K multi-turn instruction following data** consisting of **book covers**, to enhance models capabilities on tasks regarding OCR. ## Example Usage #### Using lmdeploy 1. Install requirements: ```sh conda create -n lmdeploy python=3.8 -y conda activate lmdeploy pip install lmdeploy ``` 2. Run the following code: ```python from lmdeploy import pipeline, ChatTemplateConfig from lmdeploy.vl import load_image pipe = pipeline("ytu-ce-cosmos/Turkish-LLaVA-v0.1", chat_template_config=ChatTemplateConfig(model_name='llama3')) url = "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/transformers/tasks/idefics-im-captioning.jpg" image = load_image(url) response = pipe(('Bu resimde öne çıkan ögeler nelerdir?', image)) print(response) """ Resimde, çiçeklerle dolu bir bahçede yavru bir köpek ve arka planda bir ağaç yer alıyor. Köpek, çiçeklerin arasında otururken ve etrafını saran çiçeklerin arasından bakarken görülebiliyor. Bu sahne, köpeğin bahçede geçirdiği zamanın tadını çıkardığı ve çevresini keşfettiği sakin ve huzurlu bir atmosferi yansıtıyor. """ ``` Image used in this example: # Acknowledgments - Computing resources used in this work were provided by the National Center for High Performance Computing of Turkey (UHeM). - Thanks to the generous support from the Hugging Face team, it is possible to download models from their S3 storage 🤗 # Citation ```bibtex Paper Coming Soon ... ... ``` ### Contact COSMOS AI Research Group, Yildiz Technical University Computer Engineering Department
https://cosmos.yildiz.edu.tr/
cosmos@yildiz.edu.tr