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smol-vision

Image-Text-to-Text

Transformers

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merve HF Staff commited on Jul 9, 2025

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 ![Smol](https://github.com/merveenoyan/smol-vision/assets/53175384/930d5b36-bb9d-4ab6-8b5a-4fec28c48f80)
 # Smol Vision 🐣
 Recipes for shrinking, optimizing, customizing cutting edge vision and multimodal AI models.
@@ -23,4 +27,4 @@ Latest examples 👇🏻
 | Multimodal RAG    | [Multimodal RAG using ColPali and Qwen2-VL](https://github.com/merveenoyan/smol-vision/blob/main/ColPali_%2B_Qwen2_VL.ipynb)                                                                          | Learn to retrieve documents and pipeline to RAG without hefty document processing using ColPali through Byaldi and do the generation with Qwen2-VL                                                              |
 | Multimodal Retriever Fine-tuning    | [Fine-tune ColPali for Multimodal RAG](https://github.com/merveenoyan/smol-vision/blob/main/Finetune_ColPali.ipynb)                                                                          | Learn to apply contrastive fine-tuning on ColPali to customize it for your own multimodal document RAG use case                                                              |
 | Speed-up/Memory Optimization | Vision language model serving using TGI (SOON)                                                                                                                          | Explore speed-ups and memory improvements for vision-language model serving with text-generation inference |
-| Quantization/Optimum/ORT     | All levels of quantization and graph optimizations for Image Segmentation using Optimum (SOON)                                                                          | End-to-end model optimization using Optimum                                                                |

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 ![Smol](https://github.com/merveenoyan/smol-vision/assets/53175384/930d5b36-bb9d-4ab6-8b5a-4fec28c48f80)
 # Smol Vision 🐣
 Recipes for shrinking, optimizing, customizing cutting edge vision and multimodal AI models.
 | Multimodal RAG    | [Multimodal RAG using ColPali and Qwen2-VL](https://github.com/merveenoyan/smol-vision/blob/main/ColPali_%2B_Qwen2_VL.ipynb)                                                                          | Learn to retrieve documents and pipeline to RAG without hefty document processing using ColPali through Byaldi and do the generation with Qwen2-VL                                                              |
 | Multimodal Retriever Fine-tuning    | [Fine-tune ColPali for Multimodal RAG](https://github.com/merveenoyan/smol-vision/blob/main/Finetune_ColPali.ipynb)                                                                          | Learn to apply contrastive fine-tuning on ColPali to customize it for your own multimodal document RAG use case                                                              |
 | Speed-up/Memory Optimization | Vision language model serving using TGI (SOON)                                                                                                                          | Explore speed-ups and memory improvements for vision-language model serving with text-generation inference |
+| Quantization/Optimum/ORT     | All levels of quantization and graph optimizations for Image Segmentation using Optimum (SOON)                                                                          | End-to-end model optimization using Optimum                                                                |