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

Libraries

How to use ornith-ai/Ornith-1.0-9B with Transformers:

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

pipe = pipeline("text-generation", model="ornith-ai/Ornith-1.0-9B")
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("ornith-ai/Ornith-1.0-9B")
model = AutoModelForMultimodalLM.from_pretrained("ornith-ai/Ornith-1.0-9B", 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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use ornith-ai/Ornith-1.0-9B with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/ornith-ai/Ornith-1.0-9B

SGLang

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

Docker Model Runner
How to use ornith-ai/Ornith-1.0-9B with Docker Model Runner:
```
docker model run hf.co/ornith-ai/Ornith-1.0-9B
```

Attitude problem with this model

#16

by EnlistedGhost - opened 26 days ago

Discussion

EnlistedGhost

26 days ago

•

edited 26 days ago

Hello!

I'd like to begin by saying I was very excited about this model and the capabilities it boasts. Also, I am not here to slander or insult anyone in the HuggingFace community or the creations and models that they release.

I did however want to make you folks at Ornith-AI aware that I foudn the model quite regrettably: completely unusable.

It was 100% dead-set on arguing with me about what can and cannot be accomplished, stating things to me such as "I will not assist you because you are working on a modified version of the original product" when referring to published AI models or integration of published AI models from this very community site (HuggingFace) which I find difficult to understand how I have tripped some frivulous guardrail or refusal simply by not wishing to work on a 100% original release of a model.

Additionally it would profusely argue about coding methods and demand proof via benchmarks followed by a complete shut down and refusal to interact until they were provided to convince it otherwise.

I Haven't tried out the new Ornith-1.5 versions - and am once more intruiged and excited to see if perhaps this sort of model behavior was resolved.

Thank you very much and once more: I think what you and others here are doing is awesome, I only wanted to make this issue one that users could be made aware of. IN NO WAY am I belittling or mocking this model, your efforts, or its release.

Warm regards,

Jon Z (EnlistedGhost)

EDIT: Ornith-1.5 definitely corrected the issues!

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