---
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
```