content.raw: 💬🔥Releasing idefics2-8b-chatty, the chat-optimized version of Idefics2!
content.type: text
content.value: 💬🔥Releasing idefics2-8b-chatty, the chat-optimized version of Idefics2!
content.type: new_line
content.type: new_line
content.raw: It is a very efficient (8B parameters) state-of-the-art VLM, has been red-teamed, and comes with a few surprises:
content.type: text
content.value: It is a very efficient (8B parameters) state-of-the-art VLM, has been red-teamed, and comes with a few surprises:
content.type: new_line
content.raw: - 📖Paper dissecting a lot of the experimental insights we learned building Idefics2:
content.type: text
content.value: - 📖Paper dissecting a lot of the experimental insights we learned building Idefics2:
content.type: new_line
content.raw: - 🏎️TGI integration for blazing-fast inference (you can already run it locally with < 24GB GPU memory)
content.type: text
content.value: - 🏎️TGI integration for blazing-fast inference (you can already run it locally with < 24GB GPU memory)
content.type: new_line
content.raw: - 🏆 Ranking 2nd in its category (< 10B, open weights) in the awesome Open VLM Leaderboard, and now appearing in the incredible Vision Arena
content.type: text
content.value: - 🏆 Ranking 2nd in its category (< 10B, open weights) in the awesome Open VLM Leaderboard, and now appearing in the incredible Vision Arena
content.type: new_line
content.type: new_line
content.raw: Ressources:
content.type: text
content.value: Ressources:
content.type: new_line
content.raw: ⏯️Playground: 
content.type: text
content.value: ⏯️Playground: 
content.raw: https://huggingface.co/spaces/HuggingFaceM4/idefics2_playground
content.id: HuggingFaceM4/idefics2_playground
content.type: space
content.type: resource
content.url: https://huggingface.co/spaces/HuggingFaceM4/idefics2_playground
content.type: new_line
content.raw: 📖Paper: 
content.type: text
content.value: 📖Paper: 
content.label: What matters when building vision-language models? (2405.02246)
content.raw: https://huggingface.co/papers/2405.02246
content.id: 2405.02246
content.type: paper
content.type: resource
content.url: https://huggingface.co/papers/2405.02246
content.type: new_line
content.raw: 🏋️‍♂️Model and red-teaming analysis: 
content.type: text
content.value: 🏋️‍♂️Model and red-teaming analysis: 
content.raw: https://huggingface.co/HuggingFaceM4/idefics2-8b-chatty
content.id: HuggingFaceM4/idefics2-8b-chatty
content.type: model
content.type: resource
content.url: https://huggingface.co/HuggingFaceM4/idefics2-8b-chatty
content.type: new_line
content.raw: 👀Ressources to get started: 
content.type: text
content.value: 👀Ressources to get started: 
content.raw: https://huggingface.co/HuggingFaceM4/idefics2-8b-chatty#how-to-get-started
content.id: HuggingFaceM4/idefics2-8b-chatty
content.type: model
content.type: resource
content.url: https://huggingface.co/HuggingFaceM4/idefics2-8b-chatty#how-to-get-started
content.type: new_line
content.raw: 🏆Open VLM Leaderboard: 
content.type: text
content.value: 🏆Open VLM Leaderboard: 
content.raw: https://huggingface.co/spaces/opencompass/open_vlm_leaderboard
content.id: opencompass/open_vlm_leaderboard
content.type: space
content.type: resource
content.url: https://huggingface.co/spaces/opencompass/open_vlm_leaderboard
content.type: new_line
content.raw: 🏟️Vision arena: 
content.type: text
content.value: 🏟️Vision arena: 
content.raw: https://huggingface.co/spaces/WildVision/vision-arena
content.id: WildVision/vision-arena
content.type: space
content.type: resource
content.url: https://huggingface.co/spaces/WildVision/vision-arena
rawContent: 💬🔥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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reactions.users: awacke1
commentators._id: 6188aa5144483c9531252c2a
commentators.avatarUrl: /avatars/9cf1898b538cc4e6a5100475877c16e0.svg
commentators.fullname: Manu
commentators.name: suryavanshi
commentators.type: user