Instructions to use primitive-ai/Ornith-1.5-35B-A3B-mixed-NVFP4-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use primitive-ai/Ornith-1.5-35B-A3B-mixed-NVFP4-FP8 with Transformers:

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

pipe = pipeline("image-text-to-text", model="primitive-ai/Ornith-1.5-35B-A3B-mixed-NVFP4-FP8")
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("primitive-ai/Ornith-1.5-35B-A3B-mixed-NVFP4-FP8")
model = AutoModelForMultimodalLM.from_pretrained("primitive-ai/Ornith-1.5-35B-A3B-mixed-NVFP4-FP8", 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 primitive-ai/Ornith-1.5-35B-A3B-mixed-NVFP4-FP8 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "primitive-ai/Ornith-1.5-35B-A3B-mixed-NVFP4-FP8"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "primitive-ai/Ornith-1.5-35B-A3B-mixed-NVFP4-FP8",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/primitive-ai/Ornith-1.5-35B-A3B-mixed-NVFP4-FP8

SGLang

How to use primitive-ai/Ornith-1.5-35B-A3B-mixed-NVFP4-FP8 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 "primitive-ai/Ornith-1.5-35B-A3B-mixed-NVFP4-FP8" \
    --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": "primitive-ai/Ornith-1.5-35B-A3B-mixed-NVFP4-FP8",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

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 "primitive-ai/Ornith-1.5-35B-A3B-mixed-NVFP4-FP8" \
        --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": "primitive-ai/Ornith-1.5-35B-A3B-mixed-NVFP4-FP8",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Docker Model Runner
How to use primitive-ai/Ornith-1.5-35B-A3B-mixed-NVFP4-FP8 with Docker Model Runner:
```
docker model run hf.co/primitive-ai/Ornith-1.5-35B-A3B-mixed-NVFP4-FP8
```

aruunks66 commited on 17 days ago

Commit

adffc8d

verified ·

1 Parent(s): c18f81b

Display the card banner and set it as the repo thumbnail

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@@ -14,8 +14,13 @@ tags:
 - moe
 - multimodal
 - blackwell
 ---
 <p align="center">
   <img src="https://img.shields.io/badge/size-22.6%20GiB-F98424?style=flat-square" alt="size 22.6 GiB">
   <img src="https://img.shields.io/badge/vs%20BF16-3.0×%20smaller-F98424?style=flat-square" alt="vs BF16 3.0x smaller">

 - moe
 - multimodal
 - blackwell
+thumbnail: https://huggingface.co/primitive-ai/Ornith-1.5-35B-A3B-mixed-NVFP4-FP8/resolve/main/assets/banner.png
 ---
+<p align="center">
+  <img src="assets/banner.png" alt="Primitive — Ornith-1.5-35B-A3B mixed NVFP4/FP8" width="100%">
+</p>
 <p align="center">
   <img src="https://img.shields.io/badge/size-22.6%20GiB-F98424?style=flat-square" alt="size 22.6 GiB">
   <img src="https://img.shields.io/badge/vs%20BF16-3.0×%20smaller-F98424?style=flat-square" alt="vs BF16 3.0x smaller">