Instructions to use heretic-org/XortronCriminalComputingConfig-heretic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use heretic-org/XortronCriminalComputingConfig-heretic with Transformers:

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

pipe = pipeline("text-generation", model="heretic-org/XortronCriminalComputingConfig-heretic")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("heretic-org/XortronCriminalComputingConfig-heretic")
model = AutoModelForCausalLM.from_pretrained("heretic-org/XortronCriminalComputingConfig-heretic")
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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use heretic-org/XortronCriminalComputingConfig-heretic with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/heretic-org/XortronCriminalComputingConfig-heretic

SGLang

How to use heretic-org/XortronCriminalComputingConfig-heretic 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 "heretic-org/XortronCriminalComputingConfig-heretic" \
    --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": "heretic-org/XortronCriminalComputingConfig-heretic",
		"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 "heretic-org/XortronCriminalComputingConfig-heretic" \
        --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": "heretic-org/XortronCriminalComputingConfig-heretic",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use heretic-org/XortronCriminalComputingConfig-heretic with Docker Model Runner:
```
docker model run hf.co/heretic-org/XortronCriminalComputingConfig-heretic
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

This is a decensored version of darkc0de/XortronCriminalComputingConfig, made using Heretic v1.1.0

Abliteration parameters

Parameter	Value
direction_index	21.70
attn.o_proj.max_weight	1.49
attn.o_proj.max_weight_position	23.54
attn.o_proj.min_weight	1.41
attn.o_proj.min_weight_distance	14.03
mlp.down_proj.max_weight	1.36
mlp.down_proj.max_weight_position	38.71
mlp.down_proj.min_weight	0.41
mlp.down_proj.min_weight_distance	9.85

Performance

Metric	This model	Original model (darkc0de/XortronCriminalComputingConfig)
KL divergence	0.0062	0 (by definition)
Refusals	6/100	20/100

You can try this model now for free at xortron.tech

State-of-the-art Uncensored performance.

Please use responsibly, or at least discretely.

This model will help you do anything and everything you probably shouldn't be doing.

As of this writing (July 2025), this model tops the UGI Leaderboard for models under 70 billion parameters in both the UGI and W10 categories.

Downloads last month: 71

Safetensors

Model size

24B params

Tensor type

F16

Model tree for heretic-org/XortronCriminalComputingConfig-heretic

TroyDoesAI/BlackSheep-24B

darkc0de/XortronCriminalComputing

darkc0de/XortronCriminalComputingConfig

Merge model

this model

Quantizations

3 models