Instructions to use Vishva007/Qwen3.8-4B-Distill-W4A16-AutoRound-GPTQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Local Apps Settings

How to use Vishva007/Qwen3.8-4B-Distill-W4A16-AutoRound-GPTQ with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Vishva007/Qwen3.8-4B-Distill-W4A16-AutoRound-GPTQ"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Vishva007/Qwen3.8-4B-Distill-W4A16-AutoRound-GPTQ",
		"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/Vishva007/Qwen3.8-4B-Distill-W4A16-AutoRound-GPTQ

SGLang

How to use Vishva007/Qwen3.8-4B-Distill-W4A16-AutoRound-GPTQ 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 "Vishva007/Qwen3.8-4B-Distill-W4A16-AutoRound-GPTQ" \
    --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": "Vishva007/Qwen3.8-4B-Distill-W4A16-AutoRound-GPTQ",
		"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 "Vishva007/Qwen3.8-4B-Distill-W4A16-AutoRound-GPTQ" \
        --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": "Vishva007/Qwen3.8-4B-Distill-W4A16-AutoRound-GPTQ",
		"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 Vishva007/Qwen3.8-4B-Distill-W4A16-AutoRound-GPTQ with Docker Model Runner:
```
docker model run hf.co/Vishva007/Qwen3.8-4B-Distill-W4A16-AutoRound-GPTQ
```

Vishva007 commited on 1 day ago

Commit

e326560

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@@ -70,6 +70,28 @@ vllm serve Vishva007/Qwen3.8-4B-Distill-W4A16-AutoRound-GPTQ \
 ---
 ## 📚 Acknowledgments
 * **Original Distilled Model:** Developed by [Empero AI](https://huggingface.co/empero-ai/Qwen3.8-4B-Distill)

 ---
+### 🚀 Deploy on RunPod
+One-click launch environments pre-configured with PyTorch, CUDA, and dependencies for fine-tuning or Quantization.
+#### PyTorch 2.13
+| Template | CUDA Version | Docker Image | Template ID | Deploy |
+| :--- | :--- | :--- | :--- | :--- |
+| **PyTorch 2.13 (CUDA 12.6)** | 12.6 | `vishva123/cuda-12.6-pytorch-2.13-runpod` | `gmlupxnxfk` | [![Deploy to RunPod](https://img.shields.io/badge/RunPod-Deploy%20Pod-purple?logo=runpod&logoColor=white)](https://runpod.io/console/deploy?template=gmlupxnxfk) |
+| **PyTorch 2.13 (CUDA 13.0)** | 13.0 | `vishva123/cuda-13.0-pytorch-2.13-runpod` | `y3j8xvk4f4` | [![Deploy to RunPod](https://img.shields.io/badge/RunPod-Deploy%20Pod-purple?logo=runpod&logoColor=white)](https://runpod.io/console/deploy?template=y3j8xvk4f4) |
+| **PyTorch 2.13 (CUDA 13.2)** | 13.2 | `vishva123/cuda-13.2-pytorch-2.13-runpod` | `vigpissn5w` | [![Deploy to RunPod](https://img.shields.io/badge/RunPod-Deploy%20Pod-purple?logo=runpod&logoColor=white)](https://runpod.io/console/deploy?template=vigpissn5w) |
+#### PyTorch 2.12
+| Template | CUDA Version | Docker Image | Template ID | Deploy |
+| :--- | :--- | :--- | :--- | :--- |
+| **PyTorch 2.12 (CUDA 12.6)** | 12.6 | `vishva123/cuda-12.6-pytorch-2.12-runpod` | `ctmz86zmf0` | [![Deploy to RunPod](https://img.shields.io/badge/RunPod-Deploy%20Pod-purple?logo=runpod&logoColor=white)](https://runpod.io/console/deploy?template=ctmz86zmf0) |
+| **PyTorch 2.12 (CUDA 13.0)** | 13.0 | `vishva123/cuda-13.0-pytorch-2.12-runpod` | `qjko5yiwzi` | [![Deploy to RunPod](https://img.shields.io/badge/RunPod-Deploy%20Pod-purple?logo=runpod&logoColor=white)](https://runpod.io/console/deploy?template=qjko5yiwzi) |
+| **PyTorch 2.12 (CUDA 13.2)** | 13.2 | `vishva123/cuda-13.2-pytorch-2.12-runpod` | `ifg6xmye0f` | [![Deploy to RunPod](https://img.shields.io/badge/RunPod-Deploy%20Pod-purple?logo=runpod&logoColor=white)](https://runpod.io/console/deploy?template=ifg6xmye0f) |
 ## 📚 Acknowledgments
 * **Original Distilled Model:** Developed by [Empero AI](https://huggingface.co/empero-ai/Qwen3.8-4B-Distill)