nsfw

furry

anthro

dark

chat

conversational

text-generation-inference

Not-For-All-Audiences

Model card Files Files and versions

xet

Community

Instructions to use Mawdistical/Mawnia-12B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

Transformers

How to use Mawdistical/Mawnia-12B with Transformers:

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

pipe = pipeline("text-generation", model="Mawdistical/Mawnia-12B")
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)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("Mawdistical/Mawnia-12B")
model = AutoModelForMultimodalLM.from_pretrained("Mawdistical/Mawnia-12B", 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=256)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Mawdistical/Mawnia-12B with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/Mawdistical/Mawnia-12B

SGLang

How to use Mawdistical/Mawnia-12B 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 "Mawdistical/Mawnia-12B" \
    --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": "Mawdistical/Mawnia-12B",
		"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 "Mawdistical/Mawnia-12B" \
        --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": "Mawdistical/Mawnia-12B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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

Mawnia-12B

Model Thumbnail

Explicit Content Warning

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D1 Mawnipulatine Mansplainer Maxxing

✧ Browse the Mawnia-12B Collection

All Mawnia-12B Quants

✧ Recommended Settings

Temp: 1.35, min_p: 0.05
Experiment to find your taste.

✧ Finetuned Set Info

Entries
↳ 2.2K Unique Set Scenarios

Entry Composition
↳ Heavy Violence
↳ Dark Themes
↳ Extensive NSFL
↳ Non-lethal but enough to scare people.
↳ Heavy NSFW
↳ Triggered on user action or passively wherever RP is seen
↳ Modern City Scenes
↳ Dystopia Scenes
↳ Grey Line Consent Scenes
↳ Note: Grey line consent is where consent may be mutual but unspoken at times or considered to be accepted by actions either by character or user. May lead to over-possessiveness in some instances.

Creation Composition
↳ Hybrid Organic-Synthetic mix

Token Count
↳ 13.5 M
↳ Note: token count calculated solely on outputs.

Type
↳ Private In-House

Focus
↳ Male Leaning
↳ Anthro
↳ Xeno-Likeness
↳ Passive Negative Bias with mild narcissistic tendencies, matches energy with subtle languidness.

✧ Technical Details

Base Model
↳ allura-org/Gemma-3-Glitter-12B

Model Architecture
↳ A creative writing model based on Gemma 3 12B IT
↳ 50/50 merge of two separate trains
↳ Vision capabilities restored

Training Components
ToastyPigeon
↳ g3-12b-rp-system-v0.1
↳ ~13.5M tokens of instruct-based RP training (2:1 human to synthetic) with system prompt examples
↳ g3-12b-storyteller-v0.2-textonly
↳ ~20M tokens of completion training on long-form creative writing (1.6M synthetic from R1, remainder human-created)

✧ Credits

Furry Governor
↳ @Mawnipulator
Government Bodies
↳ @ArtusDev
↳ @SaisExperiments
↳ ALLURA-ORG

License: CC BY-NC 4.0

Services such as Arli AI and Featherless AI are granted a CC BY-ND 4.0 license for use of this model.

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Safetensors

Model size

12B params

Tensor type

BF16

Model tree for Mawdistical/Mawnia-12B

Base model

allura-org/Gemma-3-Glitter-12B

Finetuned

(1)

this model

Quantizations

5 models

Collection including Mawdistical/Mawnia-12B

Mawnia-12B

Collection

4 items • Updated Sep 23, 2025 • 1