Instructions to use Paranioar/NEO1_0-2B-MT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Paranioar/NEO1_0-2B-MT with Transformers:

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

pipe = pipeline("image-text-to-text", model="Paranioar/NEO1_0-2B-MT", trust_remote_code=True)
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 AutoModel
model = AutoModel.from_pretrained("Paranioar/NEO1_0-2B-MT", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Paranioar/NEO1_0-2B-MT with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Paranioar/NEO1_0-2B-MT"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Paranioar/NEO1_0-2B-MT",
		"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/Paranioar/NEO1_0-2B-MT

SGLang

How to use Paranioar/NEO1_0-2B-MT 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 "Paranioar/NEO1_0-2B-MT" \
    --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": "Paranioar/NEO1_0-2B-MT",
		"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 "Paranioar/NEO1_0-2B-MT" \
        --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": "Paranioar/NEO1_0-2B-MT",
		"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 Paranioar/NEO1_0-2B-MT with Docker Model Runner:
```
docker model run hf.co/Paranioar/NEO1_0-2B-MT
```

Update model card for NEO1_0-2B

by nielsr HF Staff - opened Oct 17, 2025

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+76

-48

nielsr

Oct 17, 2025

This PR improves the model card for the NEO1_0-2B model family.

Key changes include:

Updating the main title structure and fixing a typo.
Adding relevant tags and base_model to the metadata for better discoverability and clarity regarding the model's architecture (Qwen3-1.7B as the base LLM for the 2B variants).
Incorporating the model's logo and architecture diagram directly from the GitHub repository.
Integrating the comprehensive benchmark results table from the GitHub README to provide more detailed performance context.
Ensuring the Model Weights table accurately reflects the available 2B variants (PT, MT, SFT).
Adding the "Todo List" and a dedicated "License" section for completeness.
The paper link to arXiv is retained as per the guidelines.

Please review and merge if everything looks good!

Update model card for NEO1_0-2B31004b1f

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