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oscarfrtoday at 12:51 PM2 repliesview on HN

Found this benchmark for Jev-class models: https://benchmarkheaven.com/jev-models

There are already many Jev-like models in there.

Edit: No affiliation. Just found it and thought others might find it interesting.


Replies

jasonjmcgheetoday at 2:28 PM

The open source ones- I downloaded a number and tried them and compared to Jev.

Anything that required knowledge / familiarity mmBERT and ModernBERT post-trains performed much worse.

So it seems like they did some kind of useful expansive pre-training.

Things that were Qwen or Gemma Diffusion did better at those kinds of tasks but were generally pretty inconsistent in terms of whether they could succeed repeatedly (and be stable + reliable) on the many types of tasks that are in the cookbook part of the Jev docs.

If you ask Jev similar input + questions, it's pretty stable. And does a reasonable job on a lot of questions.

This one public benchmark (the only I've seen) seems to give the open versions way too much credit. It wasn't my experience at all.

It gave my a false wrong sense of what might be required to get it working for something at work to avoid needing a new subprocessor as - at least on Cloudflare / OpenRouter Jev is third-party not hosted.

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raybbtoday at 3:00 PM

One thing I'm still trying to figure out is how this compares to something like gliner. If you're just doing classification in what situations would you choose kev vs gliner?