Instructions to use sitatech/Qwen3-VL-8B-Instruct-GPTQ-Int4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use sitatech/Qwen3-VL-8B-Instruct-GPTQ-Int4 with Transformers:

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

pipe = pipeline("image-text-to-text", model="sitatech/Qwen3-VL-8B-Instruct-GPTQ-Int4")
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 AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("sitatech/Qwen3-VL-8B-Instruct-GPTQ-Int4")
model = AutoModelForMultimodalLM.from_pretrained("sitatech/Qwen3-VL-8B-Instruct-GPTQ-Int4", 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=40)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use sitatech/Qwen3-VL-8B-Instruct-GPTQ-Int4 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "sitatech/Qwen3-VL-8B-Instruct-GPTQ-Int4"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "sitatech/Qwen3-VL-8B-Instruct-GPTQ-Int4",
		"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/sitatech/Qwen3-VL-8B-Instruct-GPTQ-Int4

SGLang

How to use sitatech/Qwen3-VL-8B-Instruct-GPTQ-Int4 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 "sitatech/Qwen3-VL-8B-Instruct-GPTQ-Int4" \
    --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": "sitatech/Qwen3-VL-8B-Instruct-GPTQ-Int4",
		"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 "sitatech/Qwen3-VL-8B-Instruct-GPTQ-Int4" \
        --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": "sitatech/Qwen3-VL-8B-Instruct-GPTQ-Int4",
		"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 sitatech/Qwen3-VL-8B-Instruct-GPTQ-Int4 with Docker Model Runner:
```
docker model run hf.co/sitatech/Qwen3-VL-8B-Instruct-GPTQ-Int4
```

sitatech commited on Feb 6

Commit

c39cb8b

verified ·

1 Parent(s): fbe45f4

Update config.json

Browse files

Files changed (1) hide show

config.json +1 -14

config.json CHANGED Viewed

@@ -11,20 +11,7 @@
     "desc_act": false,
     "group_size": 128,
     "lm_head": false,
-    "meta": {
-      "act_group_aware": true,
-      "damp_auto_increment": 0.01,
-      "damp_percent": 0.1,
-      "gptaq": false,
-      "gptaq_alpha": 0.25,
-      "mse": 0.0,
-      "quantizer": [
-        "gptqmodel:5.4.0"
-      ],
-      "static_groups": false,
-      "true_sequential": true,
-      "uri": "https://github.com/modelcloud/gptqmodel"
-    },
     "pack_dtype": "int32",
     "pack_impl": "cpu",
     "quant_method": "gptq",

     "desc_act": false,
     "group_size": 128,
     "lm_head": false,
+    "block_name_to_quantize": "model.language_model.layers",
     "pack_dtype": "int32",
     "pack_impl": "cpu",
     "quant_method": "gptq",