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