HuggingFaceM4
AI & ML interests
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Recent Activity
HuggingFaceM4 is the multimodal team at Hugging Face, working on vision-language models.
Within this organization on the Hugging Face hub, you can access the Idefics models (version 1 IDEFICS, version 2 Idefics2, version 3 Idefics3), datasets used for the training like OBELICS, WebSight, The Cauldron or Docmatix, and interactive tools to visualize the results.
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IDEFICS2 Playground
🐨169Chat with a visual AI that answers questions about images
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HuggingFaceM4/idefics2-8b
Image-Text-to-Text • 8B • Updated • 112k • 625 -
HuggingFaceM4/idefics2-8b-chatty
Image-Text-to-Text • 8B • Updated • 521 • 95 -
HuggingFaceM4/idefics2-8b-base
Image-Text-to-Text • 8B • Updated • 1.33k • 28
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IDEFICS2 Playground
🐨169Chat with a visual AI that answers questions about images
-
HuggingFaceM4/idefics2-8b
Image-Text-to-Text • 8B • Updated • 112k • 625 -
HuggingFaceM4/idefics2-8b-chatty
Image-Text-to-Text • 8B • Updated • 521 • 95 -
HuggingFaceM4/idefics2-8b-base
Image-Text-to-Text • 8B • Updated • 1.33k • 28
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IDEFICS Playground
faster-qwen3-tts
Generate natural speech from your text instantly
Autoresearch for Data
We gave an agent our GPU cluster to improve our data mixture
Hugging Face Voice - Inkling
Talk to Inkling with faster-qwen3tts voice replies
An Open Realtime Voice You Can Actually Run Yourself
Generate real‑time spoken AI conversations
Demo of Encoder-Free VLM Trained for $100
Ask questions about images and get answers instantly