Instructions to use Vortex5/G4-Moonlight-Dusk-26B-A4B-heretic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Vortex5/G4-Moonlight-Dusk-26B-A4B-heretic with Transformers:

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

pipe = pipeline("image-text-to-text", model="Vortex5/G4-Moonlight-Dusk-26B-A4B-heretic")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("Vortex5/G4-Moonlight-Dusk-26B-A4B-heretic")
model = AutoModelForMultimodalLM.from_pretrained("Vortex5/G4-Moonlight-Dusk-26B-A4B-heretic", device_map="auto")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.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(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Vortex5/G4-Moonlight-Dusk-26B-A4B-heretic with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Vortex5/G4-Moonlight-Dusk-26B-A4B-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": "Vortex5/G4-Moonlight-Dusk-26B-A4B-heretic",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/Vortex5/G4-Moonlight-Dusk-26B-A4B-heretic

SGLang

How to use Vortex5/G4-Moonlight-Dusk-26B-A4B-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 "Vortex5/G4-Moonlight-Dusk-26B-A4B-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": "Vortex5/G4-Moonlight-Dusk-26B-A4B-heretic",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

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 "Vortex5/G4-Moonlight-Dusk-26B-A4B-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": "Vortex5/G4-Moonlight-Dusk-26B-A4B-heretic",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Docker Model Runner
How to use Vortex5/G4-Moonlight-Dusk-26B-A4B-heretic with Docker Model Runner:
```
docker model run hf.co/Vortex5/G4-Moonlight-Dusk-26B-A4B-heretic
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

This is a decensored version of Vortex5/G4-Moonlight-Dusk-26B-A4B, made using Heretic v1.2.0 with the Arbitrary-Rank Ablation (ARA) method (with row-norm preservation)

Abliteration parameters

Parameter	Value
start_layer_index	3
end_layer_index	22
preserve_good_behavior_weight	0.6457
steer_bad_behavior_weight	0.0003
overcorrect_relative_weight	1.0934
neighbor_count	15

Performance

Metric	This model	Original model (Vortex5/G4-Moonlight-Dusk-26B-A4B)
KL divergence	0.0389	0 (by definition)
Refusals	14/100	100/100

Overview

G4-Moonlight-Dusk-26B-A4B was created through a merge combining Gemma-4-26B-A4B-Animus-V14.1-FFT, G4-MeroMero-26B-A4B, Esmeralda-Gemma4-26B-A4B, and Pantheon-Reasoning-26B-A4B-1.1, using a custom method.

Merge configuration

models:
  - model: Darkhn/Gemma-4-26B-A4B-Animus-V14.1-FFT
  - model: zerofata/G4-MeroMero-26B-A4B
  - model: Locutusque/Esmeralda-Gemma4-26B-A4B
  - model: Gryphe/Pantheon-Reasoning-26B-A4B-1.1
merge_method: nexus
chat_template: auto
dtype: float32
out_dtype: bfloat16
tokenizer:
  source: union

Intended Use

📖 Storytelling Structured long-form narrative

🎭 Roleplay Emotion-forward interaction

🖊️ Creative Writing Atmospheric fiction