Instructions to use OS-Software/Ornith-1.0-9B-heretic-ja with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use OS-Software/Ornith-1.0-9B-heretic-ja with Transformers:

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

pipe = pipeline("text-generation", model="OS-Software/Ornith-1.0-9B-heretic-ja")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("OS-Software/Ornith-1.0-9B-heretic-ja")
model = AutoModelForMultimodalLM.from_pretrained("OS-Software/Ornith-1.0-9B-heretic-ja", device_map="auto")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.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(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use OS-Software/Ornith-1.0-9B-heretic-ja with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "OS-Software/Ornith-1.0-9B-heretic-ja"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "OS-Software/Ornith-1.0-9B-heretic-ja",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/OS-Software/Ornith-1.0-9B-heretic-ja

SGLang

How to use OS-Software/Ornith-1.0-9B-heretic-ja 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 "OS-Software/Ornith-1.0-9B-heretic-ja" \
    --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": "OS-Software/Ornith-1.0-9B-heretic-ja",
		"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 "OS-Software/Ornith-1.0-9B-heretic-ja" \
        --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": "OS-Software/Ornith-1.0-9B-heretic-ja",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use OS-Software/Ornith-1.0-9B-heretic-ja with Docker Model Runner:
```
docker model run hf.co/OS-Software/Ornith-1.0-9B-heretic-ja
```

OS-Software commited on Aug 2

Commit

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@@ -35,6 +35,34 @@ Note: Performance testing, including the measurement of refusal rates, was condu
 ## GGUF Version
 GGUF quantizations available [here](https://huggingface.co/OS-Software/Ornith-1.0-9B-heretic-ja-GGUF)
 -----

 ## GGUF Version
 GGUF quantizations available [here](https://huggingface.co/OS-Software/Ornith-1.0-9B-heretic-ja-GGUF)
+## ⚠️ Important Notice
+This model has undergone substantial reduction of its safety alignment. As a result, it is more likely than standard models to generate harmful, inaccurate, biased, offensive, or otherwise inappropriate content.
+### Intended Use
+For research and experimentation only, including safety research, alignment studies, and red-teaming. Please avoid deploying it in public or end-user-facing services.
+### User Responsibility
+All outputs should be treated as untrusted and independently verified before use. Users are solely responsible for:
+* Evaluating the accuracy and suitability of generated content
+* Implementing appropriate safeguards and human oversight
+* Complying with applicable laws, regulations, licenses, and ethical standards
+Use of this model is entirely at your own risk.
+### Disclaimer
+OS-Software provides this model without warranties of any kind and assumes no liability for any direct or indirect damages, losses, misuse, or legal consequences arising from its use.
+## Acknowledgements
+Thanks to the base model developers, [p-e-w](https://github.com/p-e-w) for Heretic, and the wider open-source community.
+This is a derivative work released under the base model’s applicable license. All rights to the base model remain with their respective owners.
 -----