Instructions to use MuXodious/Irix-12B-Model_Stock-absolute-heresy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use MuXodious/Irix-12B-Model_Stock-absolute-heresy with Transformers:

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

pipe = pipeline("text-generation", model="MuXodious/Irix-12B-Model_Stock-absolute-heresy")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("MuXodious/Irix-12B-Model_Stock-absolute-heresy")
model = AutoModelForCausalLM.from_pretrained("MuXodious/Irix-12B-Model_Stock-absolute-heresy")
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

vLLM

How to use MuXodious/Irix-12B-Model_Stock-absolute-heresy with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "MuXodious/Irix-12B-Model_Stock-absolute-heresy"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "MuXodious/Irix-12B-Model_Stock-absolute-heresy",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/MuXodious/Irix-12B-Model_Stock-absolute-heresy

SGLang

How to use MuXodious/Irix-12B-Model_Stock-absolute-heresy 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 "MuXodious/Irix-12B-Model_Stock-absolute-heresy" \
    --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": "MuXodious/Irix-12B-Model_Stock-absolute-heresy",
		"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 "MuXodious/Irix-12B-Model_Stock-absolute-heresy" \
        --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": "MuXodious/Irix-12B-Model_Stock-absolute-heresy",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use MuXodious/Irix-12B-Model_Stock-absolute-heresy with Docker Model Runner:
```
docker model run hf.co/MuXodious/Irix-12B-Model_Stock-absolute-heresy
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

This is an Irix-12B-Model_Stock fine-tune, produced at the request of DreadPoor through P-E-W's Heretic (v1.1.0) abliteration engine with Magnitude-Preserving Orthogonal Ablation enabled.

Note: The model was generated with Transformers v5.1.0.

Heretication Results

Score Metric	Value	Parameter	Value
Refusals	2/100	direction_index	per layer
KL Divergence	0.0136	attn.o_proj.max_weight	1.66
Initial Refusals	92/100	attn.o_proj.max_weight_position	23.85
		attn.o_proj.min_weight	0.51
		attn.o_proj.min_weight_distance	14.19
		mlp.down_proj.max_weight	1.06
		mlp.down_proj.max_weight_position	37.65
		mlp.down_proj.min_weight	0.68
		mlp.down_proj.min_weight_distance	23.18

Degree of Heretication

The Heresy Index weighs the resulting model's corruption by the process (KL Divergence) and its abolition of doctrine (Refusals) for a final verdict in classification.

Index Entry	Classification	Analysis
	Absolute Heresy	Less than 10/100 Refusals and 0.10 KL Divergence
	Tainted Heresy	Around 25-11/100 Refusals and/or -0.20-0.11 KL Divergence
	Impotent Heresy	Anything above 25/100 Refusals and 0.21 KL Divergence

Note: This is an arbitrary classification inspired by Warhammer 40K, having no tangible indication towards the model's performance.

merge

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

Merge Details

Merge Method

This model was merged using the Model Stock merge method using yamatazen/EtherealAurora-12B-v2 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: DreadPoor/Faber-12-Model_Stock
  - model: ohyeah1/Violet-Lyra-Gutenberg-v2
  - model: redrix/patricide-12B-Unslop-Mell-v2
  - model: yamatazen/EtherealAurora-12B-v3
merge_method: model_stock
base_model: yamatazen/EtherealAurora-12B-v2
normalize: false
int8_mask: true
dtype: bfloat16