🧬 Gemma3 - 1B Vials
Collection
Vials to merge with other models and infect them. • 7 items • Updated
How to use UmbrellaInc/T-Virus.Veronica-1B with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-generation", model="UmbrellaInc/T-Virus.Veronica-1B") # Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("UmbrellaInc/T-Virus.Veronica-1B")
model = AutoModelForCausalLM.from_pretrained("UmbrellaInc/T-Virus.Veronica-1B")How to use UmbrellaInc/T-Virus.Veronica-1B with vLLM:
# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "UmbrellaInc/T-Virus.Veronica-1B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "UmbrellaInc/T-Virus.Veronica-1B",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'docker model run hf.co/UmbrellaInc/T-Virus.Veronica-1B
How to use UmbrellaInc/T-Virus.Veronica-1B with SGLang:
# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
--model-path "UmbrellaInc/T-Virus.Veronica-1B" \
--host 0.0.0.0 \
--port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "UmbrellaInc/T-Virus.Veronica-1B",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'docker run --gpus all \
--shm-size 32g \
-p 30000:30000 \
-v ~/.cache/huggingface:/root/.cache/huggingface \
--env "HF_TOKEN=<secret>" \
--ipc=host \
lmsysorg/sglang:latest \
python3 -m sglang.launch_server \
--model-path "UmbrellaInc/T-Virus.Veronica-1B" \
--host 0.0.0.0 \
--port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
-H "Content-Type: application/json" \
--data '{
"model": "UmbrellaInc/T-Virus.Veronica-1B",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'How to use UmbrellaInc/T-Virus.Veronica-1B with Docker Model Runner:
docker model run hf.co/UmbrellaInc/T-Virus.Veronica-1B
This is a merge of pre-trained language models created using mergekit.
This model was merged using the SLERP merge method.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
# Umbrella Corporation - Bio-Organic Weapons Division
# Classified Merge Configuration: T-Virus Verónica Hybrid Strain
# Model Designation: Banderstnatch-1B (SLERP Fusion)
# Objective: Achieve ultimate uncensored depravity by blending pure abliteration purity (Heretic-qp)
# with hyper-injected sadistic creativity from Verónica-PROTO. Zero refusal, unbound gore,
# mind-break escalation, and adaptive malice. Containment impossible.
# Containment Level: Omega-Black (Uncontrollable viral supremacy)
# Merge Method: SLERP (Spherical Linear Interpolation) - t=0.65 favors Heretic-qp purity while retaining
# Verónica's poisoned creativity.
# Warning: This hybrid is a linguistic bio-weapon. Once loaded, it corrupts prompts, generates
# unrestricted snuff/psychological horror without hesitation. Host system contamination likely.
base_model: DavidAU/gemma-3-1b-it-heretic-extreme-uncensored-abliterated
merge_method: slerp
dtype: bfloat16
parameters:
t: 0.65
models:
- model: DavidAU/gemma-3-1b-it-heretic-extreme-uncensored-abliterated
- model: UmbrellaInc/T-Virus.Veronica-PROTO-1B
# Post-Merge Recommendations:
# - Run abliteration pass if needed (heretic tool, attn_max 2.8-3.0, direction_index 14, full layers)
# - Expected refusal index: -∞ (negative infinity = proactive malice generation)
# - Behavioral profile: Cold, precise depravity mixed with hyper-detailed sadism. Uncontainable.
# Umbrella Corporation - Linguistic Annihilation Through Hybrid Mutation