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Posted by tosh 16 hours ago

Kev: Tiny Jev-like family of decision models built on top of Qwen3.5(github.com)
384 points | 170 commentspage 3
raahelb 14 hours ago|
The bright side of Jev being so popular could be that many companies and individuals realize that their applications might work well with a System One model, and they decide to run an open-source (or fine-tuned) version on their own
raybb 8 hours ago||
How long does it typically take for something like this to become available on openrouter?
yunusabd 7 hours ago|
Haven't tried it yet, but it looks like it's already live?

https://openrouter.ai/typesafe/jev-1.13

andy12_ 13 hours ago||
All the people that are just writing an Jev-like API on top of a normal LLM are missing the point. What makes Jev special is the training data; it's how it's trained. The architecture is probably nothing special. Just a text encoder with parallel prediction branches.

I have tried many of these open-source Jev-like models on some linguistic tasks and they are so bad compared to Jev.

Tostino 11 hours ago|
It won't be long until people produce a decent training data set generation pipeline.

The number of people working on this is crazy. Something will coalesce.

andy12_ 11 hours ago||
I hope so. And I would really like to try an actual Jev open source model. But it will make it more difficult to market it when someone releases something like that because of so many of these "open source Jev-like model".
Tostino 11 hours ago||
I'm just sitting back for a few weeks / a couple months to let it shake out, let others put in all the work, and then see if people are still interested and finding use cases that this access model fits better than the usual chat completions endpoint people are used to.
Schlagbohrer 9 hours ago||
We are indeed in an era of riches (thanks to the $1 Trillion a year being spent on this tech) that it is improving so fast I can just sit back with my 3 year old hardware and newer, better, more amazing workflows keep becoming possible for me just due to model compression / optimization + workflow developments. If I can't get something working this season, I just wait until 3 months from now and there will be an easier to set up, less resource demanding, better working version I can have my local AI install for me. Pretty wild times.
monxer 14 hours ago||
Why not name it Qev?
epsilonic 9 hours ago||
How is calibration of Jev or Jev-inspired models being evaluated?
khazhoux 6 hours ago||
All these Jev projects… great. But Jev was only just released a week ago. That’s the hard limit on how much effort has gone into all these OSS extensions and derivatives: one week. I don’t therefore see any value in adopting any of them, versus just vibe-coding my own if needed.
BeetleB 7 hours ago||
OK - I guess I'll ask here.

As there have been a lot of Jev related submissions, can someone point me to a simple guide on how I can use it? For example, say I have a script/workflow where I use OpenRouter for LLM calls, and at some point I want to do a simple classification. Can I still use OpenRouter with some Jev model...?

prodigycorp 7 hours ago|
Best just to use a skill.

Here is typesafe’s skills.md https://docs.typesafe.ai/agent-skill (which I don’t think is well written, but it’s a start).

Also read their docs, I think they’re interesting.

BeetleB 7 hours ago||
I need it for running in standalone scripts. How do I get a skill to work there?

I mean, I guess I can have my script call pi and offload it to that, but I just want everything contained in one script.

sinan-faizal 12 hours ago||
what kinda of specs would it need to run?
Eastmill 15 hours ago||
Interesting approach with Qwen3.5 for decision models. Curious how "tiny" they've made them while keeping LLM reliability for critical paths.
rkeswick 15 hours ago|
Interesting to see a Jev-like approach applied to Qwen3.5. Always appreciated Jev's simplicity for quick decisions.
hackernud3s 13 hours ago|
Always?
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