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---
base_model:
- allura-org/MS-Meadowlark-22B
- Gryphe/Pantheon-RP-1.6.2-22b-Small
- ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1
- rAIfle/Acolyte-22B
- anthracite-org/magnum-v4-22b
library_name: transformers
tags:
- mergekit
- merge
license: other
license_name: mrl
license_link: https://mistral.ai/licenses/MRL-0.1.md
---
# RPLament-22B
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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1](https://huggingface.co/ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1) as a base.
### Models Merged
The following models were included in the merge:
* [allura-org/MS-Meadowlark-22B](https://huggingface.co/allura-org/MS-Meadowlark-22B)
* [Gryphe/Pantheon-RP-1.6.2-22b-Small](https://huggingface.co/Gryphe/Pantheon-RP-1.6.2-22b-Small)
* [rAIfle/Acolyte-22B](https://huggingface.co/rAIfle/Acolyte-22B)
* [anthracite-org/magnum-v4-22b](https://huggingface.co/anthracite-org/magnum-v4-22b)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
merge_method: dare_ties
base_model: ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1
parameters:
int8_mask: true
dtype: bfloat16
models:
- model: ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1
parameters:
weight: 0.30
density: 0.78
- model: anthracite-org/magnum-v4-22b
parameters:
weight: 0.25
density: 0.66
- model: allura-org/MS-Meadowlark-22B
parameters:
weight: 0.20
density: 0.54
- model: rAIfle/Acolyte-22B
parameters:
weight: 0.15
density: 0.42
- model: Gryphe/Pantheon-RP-1.6.2-22b-Small
parameters:
weight: 0.10
density: 0.42
``` |