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 but uses 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.
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
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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Base model
knifeayumu/Cydonia-v1.3-Magnum-v4-22B