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

Libraries

How to use DarkArtsForge/Protocol-Phantom-12B with Transformers:

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

pipe = pipeline("text-generation", model="DarkArtsForge/Protocol-Phantom-12B")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("DarkArtsForge/Protocol-Phantom-12B")
model = AutoModelForCausalLM.from_pretrained("DarkArtsForge/Protocol-Phantom-12B")
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]:]))

NeMo
How to use DarkArtsForge/Protocol-Phantom-12B with NeMo:
```
# tag did not correspond to a valid NeMo domain.
```
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use DarkArtsForge/Protocol-Phantom-12B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "DarkArtsForge/Protocol-Phantom-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": "DarkArtsForge/Protocol-Phantom-12B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/DarkArtsForge/Protocol-Phantom-12B

SGLang

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

Docker Model Runner
How to use DarkArtsForge/Protocol-Phantom-12B with Docker Model Runner:
```
docker model run hf.co/DarkArtsForge/Protocol-Phantom-12B
```

Protocol-Phantom-12B / README.md

Naphula

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metadata

base_model:
  - mistralai/Mistral-Nemo-Instruct-2407
  - LatitudeGames/Wayfarer-2-12B
  - WokeAI/Tankie-DPE-12B-SFT-v2
library_name: transformers
tags:
  - mergekit
  - merge
  - mistral
  - nemo
  - nuslerp
widget:
  - text: Protocol-Phantom-12B
    output:
      url: >-
        https://cdn-uploads.huggingface.co/production/uploads/68e840caa318194c44ec2a04/3kDEO5re1fpIasFVmJeeK.png

⚠️ Warning: This model can produce narratives and RP that contain violent and graphic erotic content. Adjust your system prompt accordingly, and use ChatML chat template.

🧞‍ Protocol Phantom 12B

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

This model was merged using the nuslerp method using mistralai/Mistral-Nemo-Instruct-2407 as a base.

Protocol Phantom has some refusals and may require jailbreaks or ablation to fully uncensor.

Several methods were tested including karcher and della, but they produced broken output. Models such as Impish Bloodmoon, SakuraKaze, Irix, VelvetCafe, Arsenic Shahrazad, and others had to be omitted from the merge.

Configuration

The following YAML configuration was used to produce this model:

architecture: MistralForCausalLM
base_model: B:/12B/mistralai--Mistral-Nemo-Instruct-2407
models:
  - model: B:/12B/LatitudeGames--Wayfarer-2-12B
    parameters:
      weight: 0.5
  - model: B:/12B/WokeAI--Tankie-DPE-12b-SFT-v2
    parameters:
      weight: 0.5
merge_method: nuslerp
parameters:
  nuslerp_flatten: false     # Flattens tensors to treat them as high-dimensional vectors
  nuslerp_row_wise: true   # Set to true if you want to interpolate per-row instead of per-tensor
dtype: float32
out_dtype: bfloat16
tokenizer:
  source: union