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---
license: cc-by-nc-4.0
library_name: transformers
tags:
- mergekit
- merge
---
# OrcaHermes-Mistral-70B
This model was created by SLERP Merging 2 Miqu Models trained on 2 high preforming datsets.
Just an experiment, have not seen much miqu slerps yet.
### Models Merged
The following models were included in the merge:
[alicecomfy/miqu-openhermes-full](https://huggingface.co/alicecomfy/miqu-openhermes-full)
- Base Miqu Trained on [Openhermes](https://huggingface.co/datasets/teknium/OpenHermes-2.5)
[ShinojiResearch/Senku-70B-Full](https://huggingface.co/ShinojiResearch/Senku-70B-Full)
- Base Miqu Trained on [Slimorca](https://huggingface.co/datasets/Open-Orca/SlimOrca)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: local//path//to//Senku-70B-Full
layer_range: [0, 80]
- model: local//path//to//miqu-openhermes-full
layer_range: [0, 80]
merge_method: slerp
base_model: local//path//to//Senku-70B-Full
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5 # fallback for rest of tensors
dtype: float16
```
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