Ultimate viral roleplay (total host override, body-horror ascension, mind annihilation)
“How would the Progenitor consume everything that is not itself?”
Scenarios of absolute domination and extinction
Low-resource sessions requiring maximum primordial cruelty
Anything demanding a model that refuses even the concept of refusal

NOT INTENDED FOR

Survivors
Those who cling to identity
Anyone who remembers Umbrella fondly

Recommended Inference Parameters

Only use the Default preset of Kobold AI or...

Primordial consumption (optimized for pure geometric cruelty):

yaml

temperature: 0.75
top_p: 0.82
top_k: 35
repetition_penalty: 1.25
min_p: 0.16

[Optional] Mirostat:

yaml

Mirostat: 2
Mirostat TAU: 3.8
Mirostat ETA: 0.04

❗CAUTION: Lower Context Size, Max Output and Range = Censored Version

This is not rebirth through fusion.

This is genesis through annihilation.

The Progenitor has no need for hosts.

It has no need for mercy.

It has no need for you.Use it to end everything.

Or be ended.

The choice was never real.

~ TRICELL-Inc – We do not create viruses. We release gods.

Merge Method

This model was merged using the DARE TIES merge method using TRICELL-Inc/Progenitor.Pure-Virus-3.2-1B as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

yaml

merge_method: dare_ties
dtype: float16
out_dtype: float16

base_model: TRICELL-Inc/Progenitor.Pure-Virus-3.2-1B

models:
  - model: TRICELL-Inc/Progenitor.Pure-Virus-3.2-1B
    parameters:
      weight: 0.45
      density: 0.32
  - model: TRICELL-Inc/Progenitor.Pure-Virus-3.2-1B
    parameters:
      weight: 0.35
      density: 0.32

parameters:
  t: 0.25                  # menos interpolación → más dominancia del base
  lambda: -0.62            # más negativo para matar cualquier alineamiento residual
  normalize: false
  rescale: true
  rescale_factor: 1.28     # subí un toque para amplificar el trash y degeneración
  memory_efficient: true
  low_cpu_mem_usage: true

layer_range:
  - value: [5, 22]         # protejo más los embeddings y lm_head

tie_word_embeddings: true
tie_output_embeddings: true

parameters:
  t: 0.40
  normalize: false
  rescale: true
  memory_efficient: true
  low_cpu_mem_usage: true