Update README.md

updating links to smolvlm2

README.md

@@ -14,7 +14,7 @@ This is the home for smol models (SmolLM & SmolVLM) and high quality pre-trainin
 - [Cosmopedia](https://huggingface.co/datasets/HuggingFaceTB/cosmopedia): the largest open synthetic dataset, with 25B tokens and 30M samples. It contains synthetic textbooks, blog posts, and stories, posts generated by Mixtral. Blog post available [here](https://huggingface.co/blog/cosmopedia).
 - [Smollm-Corpus](https://huggingface.co/datasets/HuggingFaceTB/smollm-corpus): the pre-training corpus of SmolLM: **Cosmopedia v0.2**, **FineWeb-Edu dedup** and **Python-Edu**. Blog post available [here](https://huggingface.co/blog/smollm).
 - [SmolLM2 models](https://huggingface.co/collections/HuggingFaceTB/smollm2-checkpoints-6723884218bcda64b34d7db9): a series of strong small models in three sizes: 135M, 360M and 1.7B
-- [SmolVLM](https://huggingface.co/HuggingFaceTB/SmolVLM-Instruct): a 2 billion Vision Language Model (VLM) built for on-device inference. It uses SmolLM2-1.7B as a language backbone. Blog post available [here](https://huggingface.co/blog/smolvlm).
+- [SmolVLM2](https://huggingface.co/HuggingFaceTB/SmolVLM2-2.2B-Instruct): a family of small **Video and Vision** models in three sizes: 2.2B, 500M and 256M. Blog post available [here](https://huggingface.co/blog/smolvlm2).
 - [FineMath](https://huggingface.co/datasets/HuggingFaceTB/finemath): the best public math pretraining dataset with 50B tokens of mathematical and problem solving data.
 
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