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That repo seems very old (1 month ago 🤣), before jev could see images
I saw this on the readme :
`
_Design notes
Jev is text-only. It cannot see the image. Everything it's given is the detector's candidate labels plus whatever text context the caller supplies — it's a semantic judgment layer on top of perception, not a replacement for it`
Its an interesting and narrow approach.
I think that what i want is to think about how jev can be used for image classification, for object detection, maybe for a replacement to NMS, idk. It's a blank slate. Any ideas that you have?
https://blog.cloudflare.com/clef-decision-models/#how-is-clef-different-from-other-decision-models also looks interesting - First, it has a vision encoder so it’s able to take in images and classify visual content. This is different from Jev, which only does text classification today. Secondly, our model has a 64k context window (compared to Jev’s 32k), which allows users to squeeze more input state for the model to classify against.
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ajinkya-kulkarni commentedon Oct 18, 2026
Something like this? https://github.com/JeremyEltho/jev-vision
EHxuban11 commentedon Oct 18, 2026
Hi @ajinkya-kulkarni ,
That repo seems very old (1 month ago 🤣), before jev could see images
I saw this on the readme :
`
_Design notes
Jev is text-only. It cannot see the image. Everything it's given is the detector's candidate labels plus whatever text context the caller supplies — it's a semantic judgment layer on top of perception, not a replacement for it`
Its an interesting and narrow approach.
I think that what i want is to think about how jev can be used for image classification, for object detection, maybe for a replacement to NMS, idk. It's a blank slate. Any ideas that you have?
ajinkya-kulkarni commentedon Oct 22, 2026
https://blog.cloudflare.com/clef-decision-models/#how-is-clef-different-from-other-decision-models also looks interesting -
First, it has a vision encoder so it’s able to take in images and classify visual content. This is different from Jev, which only does text classification today. Secondly, our model has a 64k context window (compared to Jev’s 32k), which allows users to squeeze more input state for the model to classify against.gboeer commentedon Oct 28, 2026
Id like to add this newly released Model to the possible candidates:
https://github.com/muhammad-talha-ad/LOCUS