Instructions to use Accio-Lab/occamy-1.0-NVFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Accio-Lab/occamy-1.0-NVFP4 with Transformers:

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

pipe = pipeline("image-text-to-text", model="Accio-Lab/occamy-1.0-NVFP4")
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)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("Accio-Lab/occamy-1.0-NVFP4")
model = AutoModelForMultimodalLM.from_pretrained("Accio-Lab/occamy-1.0-NVFP4", 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=256)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Accio-Lab/occamy-1.0-NVFP4 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Accio-Lab/occamy-1.0-NVFP4"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Accio-Lab/occamy-1.0-NVFP4",
		"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/Accio-Lab/occamy-1.0-NVFP4

SGLang

How to use Accio-Lab/occamy-1.0-NVFP4 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 "Accio-Lab/occamy-1.0-NVFP4" \
    --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": "Accio-Lab/occamy-1.0-NVFP4",
		"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 "Accio-Lab/occamy-1.0-NVFP4" \
        --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": "Accio-Lab/occamy-1.0-NVFP4",
		"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 Accio-Lab/occamy-1.0-NVFP4 with Docker Model Runner:
```
docker model run hf.co/Accio-Lab/occamy-1.0-NVFP4
```

occamy-1.0-NVFP4

File size: 1,706 Bytes

2e53d70

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  "baseline": {
    "text_requests": 8,
    "eos_requests": 8,
    "strict_json": {
      "4": false,
      "5": true,
      "6": true,
      "7": true
    },
    "tool_json_passes": 2,
    "code": {
      "2": {
        "pass": true,
        "error": null
      },
      "3": {
        "pass": true,
        "error": null
      }
    },
    "tool_api_passes": 2,
    "add_execution_chain_pass": true,
    "runtime_nll": 2.2528373012744325,
    "heldout_tokens": 3845,
    "vision_output": "red",
    "vision_red_pass": true
  },
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      "5": true,
      "6": true,
      "7": true
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    "tool_json_passes": 2,
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        "pass": true,
        "error": null
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      "3": {
        "pass": true,
        "error": null
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    "tool_api_passes": 2,
    "add_execution_chain_pass": true,
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    "heldout_tokens": 3845,
    "vision_output": "red",
    "vision_red_pass": true
  },
  "checks": {
    "export_integrity": true,
    "all_text_requests_end_normally": true,
    "both_tool_json_cases_pass": true,
    "both_tool_api_cases_pass": true,
    "add_execution_chain_pass": true,
    "both_code_cases_pass": true,
    "strict_json_not_below_baseline": true,
    "heldout_nll_within_15_percent": true,
    "synthetic_red_image_pass": true
  },
  "relative_runtime_nll_change": 0.004091852776071381,
  "perplexity_ratio": 1.0092608977529622,
  "limits": "16 short held-out news articles; 8 text fixtures; one synthetic image. Not a general model, tool-execution, vision, audio, video, long-context, or throughput benchmark."
}