Instructions to use Xingyu-Zheng/Qwopus3.5-9B-v3-INT8-FOEM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Local Apps Settings

How to use Xingyu-Zheng/Qwopus3.5-9B-v3-INT8-FOEM with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Xingyu-Zheng/Qwopus3.5-9B-v3-INT8-FOEM"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Xingyu-Zheng/Qwopus3.5-9B-v3-INT8-FOEM",
		"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/Xingyu-Zheng/Qwopus3.5-9B-v3-INT8-FOEM

SGLang

How to use Xingyu-Zheng/Qwopus3.5-9B-v3-INT8-FOEM 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 "Xingyu-Zheng/Qwopus3.5-9B-v3-INT8-FOEM" \
    --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": "Xingyu-Zheng/Qwopus3.5-9B-v3-INT8-FOEM",
		"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 "Xingyu-Zheng/Qwopus3.5-9B-v3-INT8-FOEM" \
        --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": "Xingyu-Zheng/Qwopus3.5-9B-v3-INT8-FOEM",
		"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"
						}
					}
				]
			}
		]
	}'

Unsloth Desktop
Docker Model Runner
How to use Xingyu-Zheng/Qwopus3.5-9B-v3-INT8-FOEM with Docker Model Runner:
```
docker model run hf.co/Xingyu-Zheng/Qwopus3.5-9B-v3-INT8-FOEM
```

Xingyu-Zheng commited on Apr 17

Commit

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@@ -65,12 +65,12 @@ Special thanks to [Jackrong](https://huggingface.co/Jackrong) for providing the
 If you use this model in your research or projects, please cite:
 ```bibtex
-@misc{jackrong_qwen35_27b_v3
-  title        = {Jackrong/Qwopus3.5-27B-v3},
   author       = {Jackrong},
   year         = {2026},
   publisher    = {Hugging Face},
-  howpublished = {\url{https://huggingface.co/Jackrong/Qwopus3.5-27B-v3}}
 }
 ```

 If you use this model in your research or projects, please cite:
 ```bibtex
+@misc{jackrong_qwen35_9b_v3
+  title        = {Jackrong/Qwopus3.5-9B-v3},
   author       = {Jackrong},
   year         = {2026},
   publisher    = {Hugging Face},
+  howpublished = {\url{https://huggingface.co/Jackrong/Qwopus3.5-9B-v3}}
 }
 ```