---
base_model: []
library_name: transformers
tags:
- mergekit
- merge

---
# The-Omega-Directive-12B-v1.0

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
This model will be very repetitive and not function well.  After removing the layers, I found the model a bit unsuable.  However I am currently crafting a small RP dataset based off of synthetic data from Claude 3.7 and Haiku 3.5 to retrain the smaller models.

## 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/The-Omega-Directive-M-12B-v1.0

### Configuration

The following YAML configuration was used to produce this model:

```yaml
dtype: bfloat16
merge_method: passthrough
modules:
  default:
    slices:
    - sources:
      - layer_range: [0, 25]
        model: /storage/bases/The-Omega-Directive-M-12B-v1.0
    - sources:
      - layer_range: [27, 29]
        model: /storage/bases/The-Omega-Directive-M-12B-v1.0
    - sources:
      - layer_range: [31, 40]
        model: /storage/bases/The-Omega-Directive-M-12B-v1.0
```