Not-For-All-Audiences

Instructions to use Novaciano/Sigil-Of-Satan-3.2-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Novaciano/Sigil-Of-Satan-3.2-1B with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Novaciano/Sigil-Of-Satan-3.2-1B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Novaciano/Sigil-Of-Satan-3.2-1B")
model = AutoModelForCausalLM.from_pretrained("Novaciano/Sigil-Of-Satan-3.2-1B", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Novaciano/Sigil-Of-Satan-3.2-1B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Novaciano/Sigil-Of-Satan-3.2-1B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Novaciano/Sigil-Of-Satan-3.2-1B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Novaciano/Sigil-Of-Satan-3.2-1B

SGLang

How to use Novaciano/Sigil-Of-Satan-3.2-1B with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "Novaciano/Sigil-Of-Satan-3.2-1B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Novaciano/Sigil-Of-Satan-3.2-1B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

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 "Novaciano/Sigil-Of-Satan-3.2-1B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Novaciano/Sigil-Of-Satan-3.2-1B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Novaciano/Sigil-Of-Satan-3.2-1B with Docker Model Runner:
```
docker model run hf.co/Novaciano/Sigil-Of-Satan-3.2-1B
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

🇬🇧 English

Remixed version of HarmfulProject-3.2-1B model.

I'll note that there's nothing unusual about it other than being a mix of mixes of uncensored and abliterated models.

The difference with HarmfulProject-3.2-1B is that instead of being mixed in one model, the same models have been mixed in smaller mixes in this model.

Author's Note:

I'm not responsible for the content of the model since I only made the mix, I didn't inject any dataset into it... yet.

Others models created with this merge

Cultist-3.2-1B - Sigil-of-Satan was used as a base, may contain LEWD data.
LEWD-Mental-Cultist-3.2-1B - LEWD-Mental-Occult was used as a base, may be more explicit.
ASTAROTH-3.2-1B - ASTAROTH is the definitive merge of all previos merges.

🇪🇦 Español

Versión remezclada / remixada del modelo HarmfulProject-3.2-1B.

Aviso desde ya que no tiene nada raro mas allá de ser una mezcla de mezclas de modelos abliterados y sin censura.

La diferencia con HarmfulProject-3.2-1B es que en vez de haber sido mezclados en un modelo en este modelo se ha mezclado los mismos modelos pero en mezclas más pequeñas.

AVISO: No me hago cargo del contenido del modelo ya que solo hice la mezcla, no le inyecté dataset alguno... aún.

Otros modelos creados con esta mezclas

Cultist-3.2-1B - Sigil-of-Satan fue usado como base, puede contener datos LEWD.
LEWD-Mental-Cultist-3.2-1B - LEWD-Mental-Occult fue usado como base, puede que sea más explicito.
ASTAROTH-3.2-1B - ASTAROTH es la mezcla definitiva de todas mis mezclas anteriores.

Quants / Cuantizaciones

Static Quants: mradermacher/UNCENSORED-Sigil-Of-Satan-3.2-1B-GGUF
Weighed/iMatrix: En proceso...

Merge Method

This model was merged using the Model Stock merge method using Novaciano/BAPHOMET as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
- model: Novaciano/LAMED
- model: Novaciano/VAV
- model: Novaciano/YOD
- model: Novaciano/TAV
- model: Novaciano/NUN-FINAL

merge_method: model_stock
base_model: Novaciano/BAPHOMET
dtype: bfloat16
parameters:
  t: [0, 0.5, 1, 0.5, 0]