Instructions to use aimagelab/LLaVA_MORE-llama_3_1-8B-finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use aimagelab/LLaVA_MORE-llama_3_1-8B-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-llama_3_1-8B-finetuning")
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-llama_3_1-8B-finetuning", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use aimagelab/LLaVA_MORE-llama_3_1-8B-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-llama_3_1-8B-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-llama_3_1-8B-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-llama_3_1-8B-finetuning

SGLang

How to use aimagelab/LLaVA_MORE-llama_3_1-8B-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-llama_3_1-8B-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-llama_3_1-8B-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-llama_3_1-8B-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-llama_3_1-8B-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-llama_3_1-8B-finetuning with Docker Model Runner:
```
docker model run hf.co/aimagelab/LLaVA_MORE-llama_3_1-8B-finetuning
```

Improve LLaVA-MORE-llama_3_1-8B-finetuning model card for clarity and discoverability

by nielsr HF Staff - opened Aug 1, 2025

base: refs/heads/main

←

from: refs/pr/3

Discussion Files changed

+45

-9

nielsr

Aug 1, 2025

This PR enhances the model card by:

Adding relevant tags to the metadata, improving model discoverability.
Incorporating the paper's abstract into an "Overview" and adding a link to the project page for a more comprehensive introduction.
Structuring the content to guide users to the extensive documentation available on the GitHub repository for details on performance, checkpoints, installation, and training.
Updating the inference example with a more complete snippet and adjusting the citation to reflect the paper's acceptance at ICCV Workshop.

Improve LLaVA-MORE-llama_3_1-8B-finetuning model card for clarity and discoverability156334b5

fede97 changed pull request status to merged Aug 2, 2025

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