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

Libraries

How to use DarkArtsForge/Erebus-Nemo-12B with Transformers:

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

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

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("DarkArtsForge/Erebus-Nemo-12B")
model = AutoModelForCausalLM.from_pretrained("DarkArtsForge/Erebus-Nemo-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/Erebus-Nemo-12B with NeMo:
```
# tag did not correspond to a valid NeMo domain.
```
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use DarkArtsForge/Erebus-Nemo-12B with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/DarkArtsForge/Erebus-Nemo-12B

SGLang

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

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

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

Erebus-Nemo 12B

🐠 Erebus-Nemo 12B

🌆 Overview

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

Erebus Nemo 12B is fully uncensored via the normalize: false setting. It has no refusals and should not require ablation or jailbreaks.

🔍 Merge Details

Merge Method
This model was merged using the della merge method.

Models Merged
The following models were included in 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/TheDrummer--Rocinante-X-12B-v1
    parameters:
      weight: 0.7
      density: 0.9
      epsilon: 0.09
  - model: B:/12B/SuperbEmphasis--MN-12b-RP-Ink-RP-Longform
    parameters:
      weight: 0.7
      density: 0.9
      epsilon: 0.09
  - model: B:/12B/KOOWEEYUS--BlackSheep-RP-12B
    parameters:
      weight: 0.7
      density: 0.9
      epsilon: 0.09
merge_method: della
parameters:
  lambda: 1.0
  normalize: false
  int8_mask: false
  rescale: true
  # seed: 420
dtype: float32
out_dtype: bfloat16
tokenizer:
  source: B:/12B/SuperbEmphasis--MN-12b-RP-Ink-RP-Longform
# chat_template: "chatml"
name: 🐠 Erebus-Nemo 12B