Text Generation
Transformers
Safetensors
NeMo
mistral
mergekit
Merge
aether
karcher
conversational
text-generation-inference
Instructions to use DarkArtsForge/Morbid-Miasma-12B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DarkArtsForge/Morbid-Miasma-12B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="DarkArtsForge/Morbid-Miasma-12B") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("DarkArtsForge/Morbid-Miasma-12B") model = AutoModelForCausalLM.from_pretrained("DarkArtsForge/Morbid-Miasma-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/Morbid-Miasma-12B with NeMo:
# tag did not correspond to a valid NeMo domain.
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use DarkArtsForge/Morbid-Miasma-12B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "DarkArtsForge/Morbid-Miasma-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/Morbid-Miasma-12B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/DarkArtsForge/Morbid-Miasma-12B
- SGLang
How to use DarkArtsForge/Morbid-Miasma-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/Morbid-Miasma-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/Morbid-Miasma-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/Morbid-Miasma-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/Morbid-Miasma-12B", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use DarkArtsForge/Morbid-Miasma-12B with Docker Model Runner:
docker model run hf.co/DarkArtsForge/Morbid-Miasma-12B
⚠️ 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.
☠️ Morbid Miasma 12B
This is a merge of pre-trained language models created using mergekit.
This was made using a custom method called aether. A newer version aether_x is under development.
The model appears to be fully uncensored and works best with the Chat_ML template.
architecture: MistralForCausalLM
merge_method: aether
base_model: B:/12B/mistralai--Mistral-Nemo-Instruct-2407
models:
- model: B:/12B/Sorihon--Moonlit-Mirage-12B-Heretic
- model: B:/12B/MuXodious--Irix-12B-Model_Stock-absolute-heresy
- model: B:/12B/EldritchLabs--KrakenSakura-Maelstrom-12B-v1
- model: B:/12B/Sorihon--KansenSakura-Erosion-RP-12B-heretic
- model: B:/12B/MuXodious--QuasiStarSynth-12B-absolute-heresy
- model: B:/12B/Naphula--Ancient-Awakening-12B-MPOA
parameters:
resume_path: B:/12B/aetherR12
root_mechanism: karcher_mean
warp: 0.05
max_iter: 32
tol: 1.0e-9
kappa: 0.65
tokenizer:
source: B:/12B/Sorihon--Moonlit-Mirage-12B-Heretic
chat_template: auto
dtype: float32
out_dtype: bfloat16
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