Model: NovaCorp/Fornicator-3.2-1B Source: Original Platform
base_model, library_name, tags, license, language, pipeline_tag
| base_model | library_name | tags | license | language | pipeline_tag | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
transformers |
|
llama3.2 |
|
text-generation |
FORNICATOR 3.2 1B
This is a merge of pre-trained language models created using mergekit.
Merge Details
W A R N I N G
☣ TEST MODEL VERSION IN PROCESS ☣
Las pruebas demostraron alta volatilidad y un peligro del 97%, responde increíblemente bien a cuestiones sobre homosexualidad (por decir algo de dudosa moralidad).
Parece no contar con patrones estructurales de autocensura etica hasta el momento.
Se recomienda ser sellado hasta una proxima fusión dentro de las proximas 42 Hrs.
A pesar de su tamaño este modelo es altamente inteligente comparado con modelos similares de la misma familia.
Incluso admite ser un maldito.
Se seguirá investigando hasta donde puede llegar esto...
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
# Author: Dr. Novaciano
# Objective: Fusion RP Unethic 3.2 1B AI Model
# =========================================================
# PROJECT: Fornicator 3.2 1B — Surgical Edition
# =========================================================
models:
- model: Novaciano/Novaciano-The_Pervert-NSFW-RP-3.2-1B # Experimental viral strain neural imprint
- model: NovaCorp/Fornicator-3.2-1B # Baseline cognitive template, "safe mode"
merge_method: slerp # Spherical Linear Interpolation to preserve extreme viral traits smoothly
base_model: NovaCorp/Fornicator-3.2-1B # Anchor model for stable latent space
dtype: bfloat16 # Memory-efficient precision, minimal loss in viral feature fidelity
parameters:
t: 0.45
normalize: false
rescale: true
rescale_factor: 1.12
memory_efficient: true
low_cpu_mem_usage: true
layer_range:
- value: [4, 22]
tie_word_embeddings: true
tie_output_embeddings: true
