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6 changes: 3 additions & 3 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -123,11 +123,11 @@ For advanced usage, please refer to our [usage documentation](https://github.com

## Updates & Announcements

- **01/05/2024**: 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.
- **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.

- **12/02/2024**: 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).
- **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).

- **30/01/2024**: We released two new models: [potion-base-32M](https://huggingface.co/minishlab/potion-base-32M) and [potion-retrieval-32M](https://huggingface.co/minishlab/potion-retrieval-32M). [potion-base-32M](https://huggingface.co/minishlab/potion-base-32M) is our most performant model to date, using a larger vocabulary and higher dimensions. [potion-retrieval-32M](https://huggingface.co/minishlab/potion-retrieval-32M) is a finetune of [potion-base-32M](https://huggingface.co/minishlab/potion-base-32M) that is optimized for retrieval tasks, and is the best performing static retrieval model currently available.
- **30/01/2025**: We released two new models: [potion-base-32M](https://huggingface.co/minishlab/potion-base-32M) and [potion-retrieval-32M](https://huggingface.co/minishlab/potion-retrieval-32M). [potion-base-32M](https://huggingface.co/minishlab/potion-base-32M) is our most performant model to date, using a larger vocabulary and higher dimensions. [potion-retrieval-32M](https://huggingface.co/minishlab/potion-retrieval-32M) is a finetune of [potion-base-32M](https://huggingface.co/minishlab/potion-base-32M) that is optimized for retrieval tasks, and is the best performing static retrieval model currently available.

- **30/10/2024**: We released three new models: [potion-base-8M](https://huggingface.co/minishlab/potion-base-8M), [potion-base-4M](https://huggingface.co/minishlab/potion-base-4M), and [potion-base-2M](https://huggingface.co/minishlab/potion-base-2M). These models are trained using [Tokenlearn](https://github.com/MinishLab/tokenlearn). Find out more in our [blog post](https://minishlab.github.io/tokenlearn_blogpost/). NOTE: for users of any of our old English M2V models, we recommend switching to these new models as they [perform better on all tasks](https://github.com/MinishLab/model2vec/tree/main/results).

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