---
base_model:
- JoaoReiz/Llama3.2_1B_HAREM
library_name: transformers
tags:
- mergekit
- merge

---
# Harem 3.2 1B

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:
* [JoaoReiz/Llama3.2_1B_HAREM](https://huggingface.co/JoaoReiz/Llama3.2_1B_HAREM)

### Configuration

The following YAML configuration was used to produce this model:

```yaml




models:
  - model: JoaoReiz/Llama3.2_1B_HAREM  # Experimental viral strain neural imprint
  - model: JoaoReiz/Llama3.2_1B_HAREM               # Baseline cognitive template, "safe mode"

merge_method: slerp  # Spherical Linear Interpolation to preserve extreme viral traits smoothly
base_model: JoaoReiz/Llama3.2_1B_HAREM  # Anchor model for stable latent space

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]

# Notes:
# - t=0.0   -> Pure Prototype-Virus-ENFORCE, fully stable, heavily censored
# - t=0.25  -> Slight viral traits, minimal influence on prompt handling
# - t=0.5   -> Balanced merge, moderate reduction in censorship
# - t=0.75  -> Strong T-Virus traits, significantly less censoring
# - t=0.95  -> Near-total viral influence, maximum expressive freedom, minimal autoprotection






```