Victor Sanh PRO

VictorSanh

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💬🔥Releasing idefics2-8b-chatty, the chat-optimized version of Idefics2!

It is a very efficient (8B parameters) state-of-the-art VLM, has been red-teamed, and comes with a few surprises:
- 📖Paper dissecting a lot of the experimental insights we learned building Idefics2:
- 🏎️TGI integration for blazing-fast inference (you can already run it locally with < 24GB GPU memory)
- 🏆 Ranking 2nd in its category (< 10B, open weights) in the awesome Open VLM Leaderboard, and now appearing in the incredible Vision Arena

Ressources:
⏯️Playground: HuggingFaceM4/idefics2_playground
📖Paper: What matters when building vision-language models? (2405.02246)
🏋️‍♂️Model and red-teaming analysis: HuggingFaceM4/idefics2-8b-chatty
👀Ressources to get started: HuggingFaceM4/idefics2-8b-chatty
🏆Open VLM Leaderboard: opencompass/open_vlm_leaderboard
🏟️Vision arena: WildVision/vision-arena
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2198
Glad to see Idefics2 making its way into the awesome OpenVLM Leaderboard which ranks VLMs. 🏆
2nd in its category (<10B parameters and open weights)!

While InternLM-XComposer2 uses proprietary data, Idefics2 is built solely using openly available data.

Leaderboard: opencompass/open_vlm_leaderboard
Model: HuggingFaceM4/idefics2-8b