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---
base_model:
- knifeayumu/Cydonia-v1.3-Magnum-v4-22B
base_model_relation: quantized
library_name: transformers
tags:
- mergekit
- merge
license: other
license_name: mrl
inference: false
license_link: https://mistral.ai/licenses/MRL-0.1.md
---
# Quantization
Quantized using the default exllamav2 (0.2.8) quantization process.\
Original model: https://huggingface.co/knifeayumu/Cydonia-v1.3-Magnum-v4-22B \
exllamav2: https://github.com/turboderp-org/exllamav2
# Original model card of Cydonia-v1.3-Magnum-v4-22B
# The Drummer becomes hornier (again)
Recipe based on [knifeayumu/Cydonia-v1.2-Magnum-v4-22B](https://huggingface.co/knifeayumu/Cydonia-v1.2-Magnum-v4-22B) but uses [TheDrummer/Cydonia-22B-v1.3](https://huggingface.co/TheDrummer/Cydonia-22B-v1.3) as the base.
Yes, MortalWombat. I'm gonna use your parameters as long as I can!
This is a merge of pre-trained language models created using [mergekit](https://github.com/arcee-ai/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [TheDrummer/Cydonia-22B-v1.3](https://huggingface.co/TheDrummer/Cydonia-22B-v1.3)
* [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
models:
- model: TheDrummer/Cydonia-22B-v1.3
- model: anthracite-org/magnum-v4-22b
merge_method: slerp
base_model: TheDrummer/Cydonia-22B-v1.3
parameters:
t: [0.1, 0.3, 0.6, 0.3, 0.1]
dtype: bfloat16
```
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