Instructions to use ornith-ai/Ornith-1.5-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ornith-ai/Ornith-1.5-9B with Transformers:

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

pipe = pipeline("text-generation", model="ornith-ai/Ornith-1.5-9B")
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-1.5-9B")
model = AutoModelForMultimodalLM.from_pretrained("ornith-ai/Ornith-1.5-9B", 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-1.5-9B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ornith-ai/Ornith-1.5-9B"
# 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-1.5-9B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ornith-ai/Ornith-1.5-9B

SGLang

How to use ornith-ai/Ornith-1.5-9B 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-1.5-9B" \
    --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-1.5-9B",
		"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-1.5-9B" \
        --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-1.5-9B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use ornith-ai/Ornith-1.5-9B with Docker Model Runner:
```
docker model run hf.co/ornith-ai/Ornith-1.5-9B
```

Model self-identifies as "Claude" instead of as the Ornithopter/9b variant

by lucaspadi - opened 3 days ago

Discussion

lucaspadi

3 days ago

Hi,

I downloaded and am running the ornith-1.5:9b model locally via Ollama (Windows),
using the command:

ollama run ornith-1.5:9b

When I start a conversation, the model introduces itself as "Claude" (an assistant
created by Anthropic) rather than identifying itself as the Ornithopter variant or
referencing the version I requested.

I'm reporting this because I expected the model to clearly identify itself as the
Ornithopter build (and ideally reference the 1.5:9b version). It's a bit confusing
to users who know they're running Ornithopter, since the self-introduction suggests
this is the original Claude rather than the community build.

Expected behavior: The model should identify itself as the Ornithopter project
and ideally acknowledge the version/quantization it's running.

Actual behavior: The model responds as if it were the original Claude, with no
indication of being the Ornithopter build.

Environment:

OS: Windows
Model: ornith-1.5:9b
Runner: Ollama

Steps to reproduce:

Run ollama run ornith-1.5:9b
Start a new conversation
Ask the model to introduce itself
It responds as "Claude"

Could you help confirm whether this is expected or whether the model config needs
updating? I think it might be worth checking that the model metadata/config reflects
the Ornithopter build rather than the base Claude identity.

Thanks!

harshsinghal10

2 days ago

might be it's calling claude internally that's why it took 60 to 150 sec to respond

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