metadata
base_model:
- BarraHome/Mistroll-7B-v2.2
- ClaudioItaly/Evolutionstory
library_name: transformers
tags:
- mergekit
- merge
license: mit
merge
I finally think I managed to make a model with high writing skills. Based on the prompt it manages to be very coherent with the story.
It also has great RAG capabilities.
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: BarraHome/Mistroll-7B-v2.2
- model: ClaudioItaly/Evolutionstory
merge_method: slerp
base_model: ClaudioItaly/Evolutionstory
dtype: bfloat16
parameters:
t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Hermes for input & output, WizardMath in the middle layers