This model is a TIES merger of notux-8x7b-v1 and UNAversal-8x7B-v1beta with MixtralOrochi8x7B being the Base model.
I was very impressed with MixtralOrochi8x7B performance and multifaceted usecases as it is already a merger of many usefull Mixtral models such as Mixtral instruct,
Noromaid-v0.1-mixtral, openbuddy-mixtral and possibly other models that were not named. My goal was to expand the models capabilities and make it even more useful of a model, maybe even competitive with closed source models like Gpt-4. But for that more testing is required. I hope the community can help me determine if its deserving of its name. 😊
1models:
2 - model: notux-8x7b-v1
3 parameters:
4 density: .5
5 weight: 1
6 - model: UNAversal-8x7B-v1beta
7 parameters:
8 density: .5
9 weight: 1
10
11
12merge_method: ties
13base_model: MixtralOrochi8x7B
14parameters:
15 normalize: true
16 int8_mask: true
17dtype: float16
18
