Instructions to use ATH-MaaS/Ovis1.6-Gemma2-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ATH-MaaS/Ovis1.6-Gemma2-9B with Transformers:

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

pipe = pipeline("image-text-to-text", model="ATH-MaaS/Ovis1.6-Gemma2-9B", 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("ATH-MaaS/Ovis1.6-Gemma2-9B", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use ATH-MaaS/Ovis1.6-Gemma2-9B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ATH-MaaS/Ovis1.6-Gemma2-9B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ATH-MaaS/Ovis1.6-Gemma2-9B",
		"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/ATH-MaaS/Ovis1.6-Gemma2-9B

SGLang

How to use ATH-MaaS/Ovis1.6-Gemma2-9B 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 "ATH-MaaS/Ovis1.6-Gemma2-9B" \
    --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": "ATH-MaaS/Ovis1.6-Gemma2-9B",
		"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 "ATH-MaaS/Ovis1.6-Gemma2-9B" \
        --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": "ATH-MaaS/Ovis1.6-Gemma2-9B",
		"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 ATH-MaaS/Ovis1.6-Gemma2-9B with Docker Model Runner:
```
docker model run hf.co/ATH-MaaS/Ovis1.6-Gemma2-9B
```

Help Needed: Launching Ovis1.6-Gemma2-9B-bnb-4bit

by ThetaCursed - opened Oct 1, 2024

Discussion

ThetaCursed

Oct 1, 2024

I recently quantized this model into a 4-bit bnb format. Here's the link:
https://huggingface.co/ThetaCursed/Ovis1.6-Gemma2-9B-bnb-4bit

Need assistance with getting it to launch. If anyone has successfully run it, please let me know here.

The issue arises during the image conversion process for the visual tokenizer. The preprocess_image function in the modeling_ovis.py script fails to properly convert the images to the required format or type for the visual tokenizer.

ThetaCursed

Oct 2, 2024

The issue with running this model is solved, no more help is needed.

mstkyvz

Oct 2, 2024

how did you do it

haiderasad

Oct 3, 2024

@ThetaCursed how much GPU is it consuming ?

haiderasad

Oct 3, 2024

@ThetaCursed kindly provide inference code snippet for loading 4bit quantized

Hesajon

Oct 9, 2024

@ThetaCursed can you share how you fixed the issue?

ikmalsaid

Oct 14, 2024

@ThetaCursed Don't just leave us hanging... :D

StopLockingDarkmode

Nov 2, 2024

This is the funniest fucking shit.

runninglsy

ATH-MaaS org Nov 4, 2024

We've released quantized versions of Ovis1.6: Ovis1.6-Gemma2-9B-GPTQ-Int4 and Ovis1.6-Llama3.2-3B-GPTQ-Int4. Feel free to try them out and share your feedback!

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