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---
base_model:
- Inv/Konstanta-V4-Alpha-7B
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
---
# Exponenta-Alpha-7B
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). I've used exponential function with base of 2 for this one.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Inv/Konstanta-V4-Alpha-7B](https://huggingface.co/Inv/Konstanta-V4-Alpha-7B)
* /content/drive/MyDrive/InfinityRP-Split
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: Inv/Konstanta-V4-Alpha-7B
layer_range: [0,32]
- model: /content/drive/MyDrive/InfinityRP-Split
layer_range: [0,32]
merge_method: slerp
base_model: Inv/Konstanta-V4-Alpha-7B
parameters:
t:
- filter: self_attn
value: [0.0002, 0.0004, 0.0008, 0.0016, 0.0032, 0.0064, 0.0128, 0.0256, 0.0512, 0.1024, 0.2048, 0.4096, 0.8192]
- filter: mlp
value: [0.8192, 0.4096, 0.2048, 0.1024, 0.0512, 0.0256, 0.0128, 0.0064, 0.0032, 0.0016, 0.0008, 0.0004, 0.0002]
- value: 0.5
dtype: bfloat16
``` |