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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]
```
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