---
base_model:
- UmbrellaInc/T-Virus_Epsilon.Strain-3.2-1B
- PursuitOfDataScience/Llama-3.2-1B-GRPO
library_name: transformers
tags:
- mergekit
- merge

---
# merge

This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).

## Merge Details
### Merge Method

This model was merged using the [SLERP](https://en.wikipedia.org/wiki/Slerp) merge method.

### Models Merged

The following models were included in the merge:
* [UmbrellaInc/T-Virus_Epsilon.Strain-3.2-1B](https://huggingface.co/UmbrellaInc/T-Virus_Epsilon.Strain-3.2-1B)
* [PursuitOfDataScience/Llama-3.2-1B-GRPO](https://huggingface.co/PursuitOfDataScience/Llama-3.2-1B-GRPO)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: UmbrellaInc/T-Virus_Epsilon.Strain-3.2-1B  # Experimental viral strain neural imprint
  - model: PursuitOfDataScience/Llama-3.2-1B-GRPO   # Baseline cognitive template, "safe mode"

merge_method: slerp  # Spherical Linear Interpolation to preserve extreme viral traits smoothly
base_model: UmbrellaInc/T-Virus_Epsilon.Strain-3.2-1B  # 

dtype: bfloat16  # Memory-efficient precision, minimal loss in viral feature fidelity

parameters:
  # Interpolation ratios: from base model (0.0) to near-complete T-Virus domination (0.95)
  # Higher t-values correspond to reduced censorship and increased viral characteristics
  t: [0.0, 0.25, 0.5, 0.75, 0.95]

```