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Pedro Cuenca

pcuenq

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liked a Space about 17 hours ago
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liked a dataset 2 days ago
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pcuenq's activity

liked a Space about 17 hours ago
reacted to reach-vb's post with πŸš€πŸ”₯ 4 days ago
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3369
VLMs are going through quite an open revolution AND on-device friendly sizes:

1. Google DeepMind w/ PaliGemma2 - 3B, 10B & 28B: google/paligemma-2-release-67500e1e1dbfdd4dee27ba48

2. OpenGVLabs w/ InternVL 2.5 - 1B, 2B, 4B, 8B, 26B, 38B & 78B: https://huggingface.co/collections/OpenGVLab/internvl-25-673e1019b66e2218f68d7c1c

3. Qwen w/ Qwen 2 VL - 2B, 7B & 72B: Qwen/qwen2-vl-66cee7455501d7126940800d

4. Microsoft w/ FlorenceVL - 3B & 8B: https://huggingface.co/jiuhai

5. Moondream2 w/ 0.5B: https://huggingface.co/vikhyatk/

What a time to be alive! πŸ”₯
reacted to thomwolf's post with πŸ€—πŸ”₯πŸš€ 4 days ago
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4448
We are proud to announce HuggingFaceFW/fineweb-2: A sparkling update to HuggingFaceFW/fineweb with 1000s of πŸ—£οΈlanguages.

We applied the same data-driven approach that led to SOTA English performance in🍷 FineWeb to thousands of languages.

πŸ₯‚ FineWeb2 has 8TB of compressed text data and outperforms other multilingual datasets in our experiments.

The dataset is released under the permissive πŸ“œ ODC-By 1.0 license, and the πŸ’» code to reproduce it and our evaluations is public.

We will very soon announce a big community project, and are working on a πŸ“ blogpost walking you through the entire dataset creation process. Stay tuned!

In the mean time come ask us question on our chat place: HuggingFaceFW/discussion

H/t @guipenedo @hynky @lvwerra as well as @vsabolcec Bettina Messmer @negar-foroutan and @mjaggi
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reacted to julien-c's post with πŸ€—β€οΈπŸ”₯ 9 days ago
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7828
After some heated discussion πŸ”₯, we clarify our intent re. storage limits on the Hub

TL;DR:
- public storage is free, and (unless blatant abuse) unlimited. We do ask that you consider upgrading to PRO and/or Enterprise Hub if possible
- private storage is paid above a significant free tier (1TB if you have a paid account, 100GB otherwise)

docs: https://huggingface.co/docs/hub/storage-limits

We optimize our infrastructure continuously to scale our storage for the coming years of growth in Machine learning, to the benefit of the community πŸ”₯

cc: @reach-vb @pierric @victor and the HF team
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