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💬🔥Releasing idefics2-8b-chatty, the chat-optimized version of Idefics2!
💬🔥Releasing idefics2-8b-chatty, the chat-optimized version of Idefics2!
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It is a very efficient (8B parameters) state-of-the-art VLM, has been red-teamed, and comes with a few surprises:
It is a very efficient (8B parameters) state-of-the-art VLM, has been red-teamed, and comes with a few surprises:
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- 📖Paper dissecting a lot of the experimental insights we learned building Idefics2:
- 📖Paper dissecting a lot of the experimental insights we learned building Idefics2:
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- 🏎️TGI integration for blazing-fast inference (you can already run it locally with < 24GB GPU memory)
- 🏎️TGI integration for blazing-fast inference (you can already run it locally with < 24GB GPU memory)
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- 🏆 Ranking 2nd in its category (< 10B, open weights) in the awesome Open VLM Leaderboard, and now appearing in the incredible Vision Arena
- 🏆 Ranking 2nd in its category (< 10B, open weights) in the awesome Open VLM Leaderboard, and now appearing in the incredible Vision Arena
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Ressources:
Ressources:
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⏯️Playground: 
⏯️Playground: 
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https://huggingface.co/spaces/HuggingFaceM4/idefics2_playground
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HuggingFaceM4/idefics2_playground
https://huggingface.co/spaces/HuggingFaceM4/idefics2_playground
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📖Paper: 
📖Paper: 
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https://huggingface.co/papers/2405.02246
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2405.02246
https://huggingface.co/papers/2405.02246
What matters when building vision-language models? (2405.02246)
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🏋️‍♂️Model and red-teaming analysis: 
🏋️‍♂️Model and red-teaming analysis: 
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https://huggingface.co/HuggingFaceM4/idefics2-8b-chatty
model
HuggingFaceM4/idefics2-8b-chatty
https://huggingface.co/HuggingFaceM4/idefics2-8b-chatty
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👀Ressources to get started: 
👀Ressources to get started: 
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https://huggingface.co/HuggingFaceM4/idefics2-8b-chatty#how-to-get-started
model
HuggingFaceM4/idefics2-8b-chatty
https://huggingface.co/HuggingFaceM4/idefics2-8b-chatty#how-to-get-started
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🏆Open VLM Leaderboard: 
🏆Open VLM Leaderboard: 
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https://huggingface.co/spaces/opencompass/open_vlm_leaderboard
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opencompass/open_vlm_leaderboard
https://huggingface.co/spaces/opencompass/open_vlm_leaderboard
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🏟️Vision arena: 
🏟️Vision arena: 
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https://huggingface.co/spaces/WildVision/vision-arena
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WildVision/vision-arena
https://huggingface.co/spaces/WildVision/vision-arena
💬🔥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: https://huggingface.co/spaces/HuggingFaceM4/idefics2_playground
📖Paper: https://huggingface.co/papers/2405.02246
🏋️‍♂️Model and red-teaming analysis: https://huggingface.co/HuggingFaceM4/idefics2-8b-chatty
👀Ressources to get started: https://huggingface.co/HuggingFaceM4/idefics2-8b-chatty#how-to-get-started
🏆Open VLM Leaderboard: https://huggingface.co/spaces/opencompass/open_vlm_leaderboard
🏟️Vision arena: https://huggingface.co/spaces/WildVision/vision-arena
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