DeepSeek-VL2 are open-source vision-language models with strong multimodal understanding, powered by an efficient MoE architecture. Easily test them out with the new Hugging Face demo.
DeepSeek made waves with their R1 language model, but their multimodal capabilities (especially image understanding) are not good enough:
But, they are rapidly evolving. DeepSeek-VL2, their new open-source family of Mixture-of-Experts (MoE) vision-language models, is a big step forward, achieving strong performance with a much smaller activated parameter count, thanks to its MoE design.
And the exciting news: there is a new Hugging Face Spaces demo – you can now try these models without needing to deploy heavily (normally you would need more than 80GB of GPU resources, which is almost impossible for most of us)
So check it out and see what DeepSeek brings next to suprise everyone :)
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@zac_zuo It's still going on, I'm optimistic about it
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This a giant leap. Keep to see where we would land in 12 months! Who do you think will be front runners?
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WoW! The speed at which DeepSeek is evolving is really mindblowing. Congrats on the launch and sending wins to the team :)
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Awesome, that's good news, I did not like the "No text extracted" error when i tried to upload images of any kind...
Deepseek's greatest value is that R1 cost nothing compared to Chatgpt o1; There are still no good use cases for "middle detail" vision models yet (Good enough to identify things in pictures but not good enough to drive a car etc.)
Awesome release though.
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Although the server is mostly busy, the outcomes have consistently been great. I won't go as far as to say its as great as Chat GPT, but DeepSeek has a lot of potential.
Flowtica Scribe
PictoGraphic
Although the server is mostly busy, the outcomes have consistently been great. I won't go as far as to say its as great as Chat GPT, but DeepSeek has a lot of potential.
Calk AI