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---
base_model:
- kubernetes-bad/chargen-v2
- NeverSleep/Noromaid-7B-0.4-DPO
- Weyaxi/Einstein-v4-7B
- Severian/Einstein-IKM-v1-7B-LoRa
- Casual-Autopsy/UltraHermes-Merge
library_name: transformers
tags:
- mergekit
- merge
---
# merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [kubernetes-bad/chargen-v2](https://huggingface.co/kubernetes-bad/chargen-v2) as a base.
### Models Merged
The following models were included in the merge:
* [NeverSleep/Noromaid-7B-0.4-DPO](https://huggingface.co/NeverSleep/Noromaid-7B-0.4-DPO)
* [Weyaxi/Einstein-v4-7B](https://huggingface.co/Weyaxi/Einstein-v4-7B) + [Severian/Einstein-IKM-v1-7B-LoRa](https://huggingface.co/Severian/Einstein-IKM-v1-7B-LoRa)
* [Casual-Autopsy/UltraHermes-Merge](https://huggingface.co/Casual-Autopsy/UltraHermes-Merge)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: kubernetes-bad/chargen-v2
parameters:
density: 1
weight: 1
- model: NeverSleep/Noromaid-7B-0.4-DPO
parameters:
density: 0.65
weight: 0.2
- model: Weyaxi/Einstein-v4-7B+Severian/Einstein-IKM-v1-7B-LoRa
parameters:
density: [0.6, 0.5, 0.4, 0.5, 0.6]
weight: 0.15
- model: Casual-Autopsy/UltraHermes-Merge
parameters:
density: [0.4, 0.5, 0.6, 0.5, 0.4]
weight: 0.15
merge_method: ties
base_model: kubernetes-bad/chargen-v2
parameters:
normalize: true
dtype: bfloat16
```
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