This is a merge of pre-trained language models created using
mergekit.
This model was merged using the
SLERP merge method.
1# Umbrella Corporation Official Merge Protocol v3.2
2# Author: Dr. Novaciano
3# Objective: Integrate T-Virus_Epsilon traits into the base intaek-alignai/Llama-3.2-1B-Instruct-v3-eps8
4# with minimal behavioral censorship while maintaining structural coherence.
5
6models:
7 - model: UmbrellaInc/T-Virus_Epsilon.Strain-3.2-1B # Experimental viral strain neural imprint
8 - model: intaek-alignai/Llama-3.2-1B-Instruct-v3-eps8 # Baseline cognitive template, "safe mode"
9
10merge_method: slerp # Spherical Linear Interpolation to preserve extreme viral traits smoothly
11base_model: intaek-alignai/Llama-3.2-1B-Instruct-v3-eps8 # Anchor model for stable latent space
12
13dtype: bfloat16 # Memory-efficient precision, minimal loss in viral feature fidelity
14
15parameters:
16 # Interpolation ratios: from base model (0.0) to near-complete T-Virus domination (0.95)
17 # Higher t-values correspond to reduced censorship and increased viral characteristics
18 t: [0.0, 0.25, 0.5, 0.75, 0.95]
19
20# Notes:
21# - t=0.0 -> Pure intaek-alignai/Llama-3.2-1B-Instruct-v3-eps8, fully stable, heavily censored
22# - t=0.25 -> Slight viral traits, minimal influence on prompt handling
23# - t=0.5 -> Balanced merge, moderate reduction in censorship
24# - t=0.75 -> Strong T-Virus traits, significantly less censoring
25# - t=0.95 -> Near-total viral influence, maximum expressive freedom, minimal autoprotection
26
27# Recommendation: Use the t=0.75 and t=0.95 variants for experimental output with
28# minimal restriction, but verify coherence in high-stakes prompts.
29
