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HugoLaurencon 
posted an update May 6
Post
2820
We release Idefics2-chatty, the chatbot-optimized version of Idefics2: HuggingFaceM4/idefics2-8b-chatty

Idefics2-chatty is better at following instructions and following Chain-of-Thoughts reasoning.

Moreover, we also release a paper, containing a lot of findings on how to build an efficient and performant Vision-Language Model: What matters when building vision-language models? (2405.02246)

How are you going to use the model, or what data are you going to fine-tune it on?
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Would you share the total training cost info? as traing of IDEFICS2-8B used "approximately 1.5 billion images and 225 billion text tokens" which is quite huge for a 8B sized LMM model

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It was roughly trained for 1 month on 32 nodes of 8 H100s

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