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---
base_model: []
library_name: transformers
tags:
- mergekit
- merge
---
# MN-12b-RP-Ink
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
I have removed several of the unsused layers as a test. The model still works but it can catch itself into a loop. I am attempting to finetune the model on a longer conversational dataset to see if that issue can be resolved.
I would NOT use this model... It is for testing purposes only.
## Merge Details
### Merge Method
This model was merged using the Passthrough merge method.
### Models Merged
The following models were included in the merge:
* /storage/bases/MN-12b-RP-Ink
### Configuration
The following YAML configuration was used to produce this model:
```yaml
dtype: bfloat16
merge_method: passthrough
modules:
default:
slices:
- sources:
- layer_range: [0, 27]
model: /storage/bases/MN-12b-RP-Ink
- sources:
- layer_range: [29, 30]
model: /storage/bases/MN-12b-RP-Ink
- sources:
- layer_range: [32, 40]
model: /storage/bases/MN-12b-RP-Ink
```
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