rombodawg/Open_Gpt4_8x7B_v0.1

Open_Gpt4 cc

---

VERSION 0.2 OUT NOW:

Fp16:

• https://huggingface.co/rombodawg/Open_Gpt4_8x7B_v0.2

q8_0.gguf:

• https://huggingface.co/rombodawg/Open_Gpt4_8x7B_v0.2_q8_0_gguf

---

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. 😊

Base model:

• https://huggingface.co/smelborp/MixtralOrochi8x7B

Merged models:

• https://huggingface.co/fblgit/UNAversal-8x7B-v1beta

• https://huggingface.co/argilla/notux-8x7b-v1

Instruct template: Alpaca

Merger config:

models:
  - model: notux-8x7b-v1
    parameters:
      density: .5
      weight: 1
  - model: UNAversal-8x7B-v1beta
    parameters:
      density: .5
      weight: 1


merge_method: ties
base_model: MixtralOrochi8x7B
parameters:
  normalize: true
  int8_mask: true
dtype: float16