Instructions to use Sorihon/Chaotic-Order-24B-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Sorihon/Chaotic-Order-24B-V2 with Transformers:

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

pipe = pipeline("text-generation", model="Sorihon/Chaotic-Order-24B-V2")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Sorihon/Chaotic-Order-24B-V2")
model = AutoModelForCausalLM.from_pretrained("Sorihon/Chaotic-Order-24B-V2", 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=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Sorihon/Chaotic-Order-24B-V2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Sorihon/Chaotic-Order-24B-V2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Sorihon/Chaotic-Order-24B-V2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Sorihon/Chaotic-Order-24B-V2

SGLang

How to use Sorihon/Chaotic-Order-24B-V2 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 "Sorihon/Chaotic-Order-24B-V2" \
    --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": "Sorihon/Chaotic-Order-24B-V2",
		"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 "Sorihon/Chaotic-Order-24B-V2" \
        --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": "Sorihon/Chaotic-Order-24B-V2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Sorihon/Chaotic-Order-24B-V2 with Docker Model Runner:
```
docker model run hf.co/Sorihon/Chaotic-Order-24B-V2
```

Clever model

by redaihf - opened 1 day ago

Discussion

redaihf

1 day ago

•

edited 1 day ago

This merge is surprisingly clever and creative. It can write long and interesting texts with minimal slop – although most days are still Tuesday. Compared with the equally talented Celestial Order V3 it is less witty but better at adhering to the context which gives it more balance overall. Bravo.

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