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---
base_model: []
tags:
- mergekit
- merge
---
# TestBunny-7B
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
Using the updated config file and a rope_alpha=2.5, this should be able to handle a context up to 16384 (formerly would start devolving after 4k).
May be unstable past that - have so far been unable to get coherency out fully to 32k.
## Merge Details
### Merge Method
This model was merged using the [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using D:/ModelMerge/models/Mistral-7B-v0.1 as a base.
### Models Merged
The following models were included in the merge:
* D:\ModelMerge\merges\TestBunny-7B\bunny-a
* D:/ModelMerge/models/LimaRP-Mistral-7B-v0.1
### Configuration
The following YAML configuration was used to produce this model:
```yaml
base_model: D:/ModelMerge/models/Mistral-7B-v0.1
dtype: float16
merge_method: task_arithmetic
slices:
- sources:
- layer_range: [0, 32]
model: D:\ModelMerge\merges\TestBunny-7B\bunny-a
parameters:
weight: 1.0
- layer_range: [0, 32]
model: D:/ModelMerge/models/LimaRP-Mistral-7B-v0.1
parameters:
weight: 0.08
- layer_range: [0, 32]
model: D:/ModelMerge/models/Mistral-7B-v0.1
```
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