This is a merge of pre-trained language models created using mergekit.

The first child from NemoDori-v0.2-12B-MN-BT.

The purpose is to find a way to increase v0.2 capability to stay aware of the past conversations and follow instructions better, especially the last one (depth-0), while keeping it's creativity and capability to (E)RP. This model is one of the few childs to try to fulfill that.

In my very short testing so far, I haven't found anything that's different from the parent and worth mentioning. But I think this version is slightly degraded somehow, (I don't quite know it, I just felt like it did). Anyway, try it as you may, but I think it's parent (v0.2) is better than this one.

The other child (v0.2.2) is out. I tested it more than this model and it seems to be improved better than this model, but the response format is not very consistent.

You may give me feedback on anything, or guide me how I can fulfill my-ahem it's purpose while keeping it as low as not-70B.
Fine-tune is... pretty expensive for me, and I'm not ready for that (yet, tho i'm interested).

(listen, between you and me, i still don't get it. still learning this new hobby of mine, and it's kind of refreshing in a way. i'll be exploring more other architectures in the future. Yet, this is about how random i pick my straw, just to see how lucky i am.)
(although, i am interested to learn how to make a new merge method. similar to when i'm making a solution for solving specific problem just like good ol days. but hell, this llm stuff is really expensive.)

This model was merged using the breadcrumbs_ties merge method using RozGrov/NemoDori-v0.2-12B-MN-BT as a base.

The following models were included in the merge:

The following YAML configuration was used to produce this model: