Instructions to use Statuo/MSM-MS-Cydrion-22B-EXL2-4bpw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Statuo/MSM-MS-Cydrion-22B-EXL2-4bpw with Transformers:

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

pipe = pipeline("text-generation", model="Statuo/MSM-MS-Cydrion-22B-EXL2-4bpw")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Statuo/MSM-MS-Cydrion-22B-EXL2-4bpw")
model = AutoModelForCausalLM.from_pretrained("Statuo/MSM-MS-Cydrion-22B-EXL2-4bpw", device_map="auto")
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=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Statuo/MSM-MS-Cydrion-22B-EXL2-4bpw with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Statuo/MSM-MS-Cydrion-22B-EXL2-4bpw"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Statuo/MSM-MS-Cydrion-22B-EXL2-4bpw",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Statuo/MSM-MS-Cydrion-22B-EXL2-4bpw

SGLang

How to use Statuo/MSM-MS-Cydrion-22B-EXL2-4bpw 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 "Statuo/MSM-MS-Cydrion-22B-EXL2-4bpw" \
    --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": "Statuo/MSM-MS-Cydrion-22B-EXL2-4bpw",
		"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 "Statuo/MSM-MS-Cydrion-22B-EXL2-4bpw" \
        --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": "Statuo/MSM-MS-Cydrion-22B-EXL2-4bpw",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Statuo/MSM-MS-Cydrion-22B-EXL2-4bpw with Docker Model Runner:
```
docker model run hf.co/Statuo/MSM-MS-Cydrion-22B-EXL2-4bpw
```

Imma be real chief. I have no idea how this one will shake out.

This is the EXL2 4bpw version of this model. Find the original model here.
Find the 8bpw version here
Find the 6bpw version here

MSM-MS-Cydrion-22B Data Card

Meet Cydrion, the attempt of fusion for creativity and intelligence.

Creator: SteelSkull

About Cydrion-22B:

Name Legend:
MSM = Mistral-Small
MS = Model Stock
22b = its 22b

This model merges the robust storytelling of Cydonia with the creative edge of Acolyte, ArliAI-RPMax, and Gutenberg with some special sauce.

Use Mistral Format

Quants:

My Quants:MSM-MS-Cydrion-22B-Q6_K-GGUF

Config:

MODEL_NAME = "MSM-MS-Cydrion-22B"
yaml_config = """
base_model: Steelskull/Merged-v2
merge_method: model_stock
dtype: bfloat16
models:
  - model: TheDrummer/Cydonia-22B-v1.1
  - model: ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1
  - model: nbeerbower/Mistral-Small-Gutenberg-Doppel-22B
  - model: rAIfle/Acolyte-22B
"""

If you wish to support:

Downloads last month: 7

Model tree for Statuo/MSM-MS-Cydrion-22B-EXL2-4bpw

ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1

TheDrummer/Cydonia-22B-v1.1

nbeerbower/Mistral-Small-Gutenberg-Doppel-22B

rAIfle/Acolyte-22B

unsloth/Mistral-Small-Instruct-2409

Merge model

this model