Depends on the model. The small ones I support today are well below Jev on harder queries, but fine for simple, well-defined questions. The open models that get close to Jev are bigger, and I'm adding support for those next.

there's this thing with a bunch of similar models https://huggingface.co/spaces/multimodalart/jev-decision-ind...

top open one is trained by perplexity cto for $3k, kinda cool https://x.com/denisyarats/status/2102252088067850507

The link rgbrgb posted is a good overview. The best open ones are close to Jev now, but they're big models. And I agree, if you have an eval set for a fixed task, a trained classifier is the better choice.

Fair, and I'd be happy if they did. Ollaya uses the same API as Jev, so your code isn't tied to it either way

and that ollama is go-llama and not rust, so it's not really the ollama of anything

open-source is the only way for safe AI development. whoever doesn’t share the weights/code will lag behind.

Thanks!

hey Claude, download and run vllm nightly for me

(already merged)

GoModel (gateway) already supports Jev like endpoints too

https://gomodel.enterpilot.io/docs/providers/jev