Instructions to use aimagelab/LLaVA_MORE-phi_4-finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use aimagelab/LLaVA_MORE-phi_4-finetuning with Transformers:

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

pipe = pipeline("image-text-to-text", model="aimagelab/LLaVA_MORE-phi_4-finetuning", 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 AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("aimagelab/LLaVA_MORE-phi_4-finetuning", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use aimagelab/LLaVA_MORE-phi_4-finetuning with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "aimagelab/LLaVA_MORE-phi_4-finetuning"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "aimagelab/LLaVA_MORE-phi_4-finetuning",
		"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/aimagelab/LLaVA_MORE-phi_4-finetuning

SGLang

How to use aimagelab/LLaVA_MORE-phi_4-finetuning 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 "aimagelab/LLaVA_MORE-phi_4-finetuning" \
    --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": "aimagelab/LLaVA_MORE-phi_4-finetuning",
		"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 "aimagelab/LLaVA_MORE-phi_4-finetuning" \
        --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": "aimagelab/LLaVA_MORE-phi_4-finetuning",
		"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 aimagelab/LLaVA_MORE-phi_4-finetuning with Docker Model Runner:
```
docker model run hf.co/aimagelab/LLaVA_MORE-phi_4-finetuning
```

Improve model card for LLaVA_MORE-phi_4-finetuning

by nielsr HF Staff - opened Aug 1, 2025

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+101

-142

Improve model card for LLaVA_MORE-phi_4-finetuning186e6bcd

nielsr

Aug 1, 2025

This PR significantly improves the model card for aimagelab/LLaVA_MORE-phi_4-finetuning by:

Adding detailed metadata including the license, pipeline_tag, base_model, and relevant tags for better discoverability and functionality on the Hub.
Populating the model card content with a comprehensive description derived from the paper abstract and GitHub README.
Providing direct links to the paper, the GitHub repository, the project website, the Hugging Face model collection, and a demo space.
Including detailed performance benchmarks, training data and procedure, acknowledgments, and academic citation.
Adding a robust "How to Get Started" section with a runnable Python code example that demonstrates model inference including necessary image preprocessing steps.

This update will make the model much more accessible, informative, and usable for the Hugging Face community.

readmeb7383003

fede97 changed pull request status to merged Aug 2, 2025

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment