| | --- |
| | 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] |
| | |
| | ``` |
| |
|
