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---
license: cc-by-4.0
tags:
- merge
- moe
---
Open_Gpt4_v0.2
This is the quantized gguf version for inference. If you want the unquantized version for merging and training please reffer to the repo bellow:
- https://huggingface.co/rombodawg/Open_Gpt4_8x7B_v0.2
This model is a TIES merger of Mixtral-8x7B-Instruct-v0.1 and bagel-dpo-8x7b-v0.2 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. 😊
This is the second iteration of this model, using better models in the merger to improve performance (hopefully).
Base model:
- https://huggingface.co/smelborp/MixtralOrochi8x7B
Merged models:
- https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1
- https://huggingface.co/jondurbin/bagel-dpo-8x7b-v0.2
Instruct template: Alpaca
Merger config:
```yaml
models:
- model: Mixtral-8x7B-Instruct-v0.1
parameters:
density: .5
weight: 1
- model: bagel-dpo-8x7b-v0.2
parameters:
density: .5
weight: .7
merge_method: ties
base_model: MixtralOrochi8x7B
parameters:
normalize: true
int8_mask: true
dtype: float16
```
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