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