Updated readme

Author: Pringled

README.md

@@ -123,6 +123,8 @@ For advanced usage, please refer to our [usage documentation](https://github.com
 
 ## Updates & Announcements
 
+-**23/05/2025**: We released [potion-multilingual-128M](https://huggingface.co/minishlab/potion-multilingual-128M), a multilingual model trained on 101 languages. It is the best performing static embedding model for multilingual tasks, and is capable of generating embeddings for any text in any language.
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 - **01/05/2025**: We released backend support for `BPE` and `Unigram` tokenizers, along with quantization and dimensionality reduction. New Model2Vec models are now 50% of the original models, and can be quantized to int8 to be 25% of the size, without loss of performance.
 
 - **12/02/2025**: We released **Model2Vec training**, allowing you to fine-tune your own classification models on top of Model2Vec models. Find out more in our [training documentation](https://github.com/MinishLab/model2vec/blob/main/model2vec/train/README.md) and [results](results/README.md#training-results).