Instructions to use Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce with Transformers:

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

pipe = pipeline("text-generation", model="Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce")
model = AutoModelForCausalLM.from_pretrained("Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce", 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 Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce

SGLang

How to use Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce 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 "Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce" \
    --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": "Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce",
		"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 "Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce" \
        --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": "Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce with Docker Model Runner:
```
docker model run hf.co/Yingyaeliae/Ariel-Alloy-V1-24B-Extra-Heretic-Sauce
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

This is a decensored version of ShyliaSafetensors/Ariel-Alloy-V1-24B-Heretic, made using Heretic v1.4.0

Abliteration parameters

Parameter	Value
direction_index	22.40
attn.o_proj.max_weight	1.41
attn.o_proj.max_weight_position	37.98
attn.o_proj.min_weight	0.93
attn.o_proj.min_weight_distance	23.04
mlp.down_proj.max_weight	1.33
mlp.down_proj.max_weight_position	31.85
mlp.down_proj.min_weight	0.63
mlp.down_proj.min_weight_distance	14.05

Performance

Metric	This model	Original model (ShyliaSafetensors/Ariel-Alloy-V1-24B-Heretic)
KL divergence	0.0235	0 (by definition)
Refusals	2/100	9/100

Ariel-Alloy-V1-24B-Heretic

The goal was creating good/stable Role-Play model with merging multiple models with multiple steps.

This is a merge of pre-trained language models created using mergekit. Then used Heretic to remove refusals

Abliteration / Heretic Stats

Metric	Before	After
Refusal rate	98 / 100	10 / 100
KL Divergence	0	0.0152

Merge Details

Merge Methods

This model was merged using the SLERP, Dare-Ties, and Model Stock merge method.

Configurations

The following YAML configurations was used to produce this model:

Step 1:

merge_method: dare_ties
base_model: MS3.2-PaintedFantasy-v4.1-24B-ultra-uncensored-heretic-v1

models:
      
  - model: Magidonia-24B-v4.3-heretic
    parameters:
      density: 0.65
      weight: 0.65
      rescale: true
      
  - model: Dans-PersonalityEngine-V1.3.0-24b
    parameters:
      density: 0.65
      weight: 0.65
      rescale: true
      
  - model: Cydonia-24B-Heretic-v4
    parameters:
      density: 0.65
      weight: 0.50
      rescale: true
      
  - model: Rotor_24B_V.1
    parameters:
      density: 0.65
      weight: 0.45
      rescale: true
      
  - model: MS3.2-The-Omega-Directive-24B-Unslop-v2.0
    parameters:
      density: 0.65
      weight: 0.60
      rescale: true
      
  - model: Dark-Nexus-24B-v2.0
    parameters:
      density: 0.65
      weight: 0.55
      rescale: true

parameters:
  normalize: true
  int8_mask: true
dtype: bfloat16
name: ArielRefined-V1-DareTies

Step 2:

merge_method: model_stock
base_model: Dans-PersonalityEngine-V1.3.0-24b
filter_wise: true # stable
models:

  - model: Broken-Tutu-24B-Transgression-v2.0
  - model: MS3.2-PaintedFantasy-v4.1-24B-ultra-uncensored-heretic-v1
  - model: WeirdCompound-v1.7-24b-absolute-heresy
  - model: Dans-PersonalityEngine-V1.3.0-24b
  - model: Mistral-Small-3.2-24B-Instruct-2506-Text-Only
  - model: Eurydice-24b-v3.5
  
dtype: bfloat16
name: ArielRefined-Model_stock

Step 3:

merge_method: slerp
base_model: ArielRefined-V1-DareTies

parameters:
  t: 0.50 # 50-50
  
models:

  - model: ArielRefined-Model_stock
  
dtype: bfloat16
name: Ariel-Alloy