Thanks, I will reach out. I have also posted for contributors on localllama https://www.reddit.com/r/LocalLLaMA/comments/1vg40w8/anyone_...

> We can do a mix of general use (as in user stories) plus a few academic benchmarks.

Yup sounds about right. Generally speaking, higher the distinct contributors, more likely it is to capture the distribution of real-life usefulness.

> So you have any specific ideas?

Only that the problems that get picked should be easy to evaluate in isolation and should test the harness capability rather than model's knowledge/capability.

> should test the harness capability rather than model's knowledge/capability.

Then we need a provenance for model inference, generalized. This should be interesting. We would be trying to deterministically generalize a baseline "can do this" for models... Maybe categorize by parameter class.