DELLA-TEST-MERGE / README.md
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---
base_model:
- NewEden-Forge/madness-erebus
- nbeerbower/mistral-nemo-bophades-12B
- TheDrummer/UnslopNemo-12B-v4.1
- Nitral-AI/Captain_BMO-12B
- nbeerbower/mistral-nemo-gutenberg-12B-v4
- NewEden-Forge/TEST-12B
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 della_linear merge method using [NewEden-Forge/madness-erebus](https://huggingface.co/NewEden-Forge/madness-erebus) as a base.
### Models Merged
The following models were included in the merge:
* [nbeerbower/mistral-nemo-bophades-12B](https://huggingface.co/nbeerbower/mistral-nemo-bophades-12B)
* [TheDrummer/UnslopNemo-12B-v4.1](https://huggingface.co/TheDrummer/UnslopNemo-12B-v4.1)
* [Nitral-AI/Captain_BMO-12B](https://huggingface.co/Nitral-AI/Captain_BMO-12B)
* [nbeerbower/mistral-nemo-gutenberg-12B-v4](https://huggingface.co/nbeerbower/mistral-nemo-gutenberg-12B-v4)
* [NewEden-Forge/TEST-12B](https://huggingface.co/NewEden-Forge/TEST-12B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: Nitral-AI/Captain_BMO-12B
parameters:
weight: 0.1
density: 0.4
- model: nbeerbower/mistral-nemo-bophades-12B
parameters:
weight: 0.12
density: 0.5
- model: nbeerbower/mistral-nemo-gutenberg-12B-v4
parameters:
weight: 0.2
density: 0.6
- model: TheDrummer/UnslopNemo-12B-v4.1
parameters:
weight: 0.25
density: 0.7
- model: NewEden-Forge/TEST-12B
parameters:
weight: 0.33
density: 0.8
merge_method: della_linear
base_model: NewEden-Forge/madness-erebus
parameters:
epsilon: 0.05
lambda: 1
dtype: bfloat16
tokenizer_source: base
```