Text Generation
Safetensors
English
qwen2
gptqmodel
modelcloud
chat
qwq
instruct
int4
gptq
4bit
W4A16
conversational
4-bit precision
Instructions to use ModelCloud/QwQ-32B-Preview-gptqmodel-4bit-vortex-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- vLLM
How to use ModelCloud/QwQ-32B-Preview-gptqmodel-4bit-vortex-v3 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ModelCloud/QwQ-32B-Preview-gptqmodel-4bit-vortex-v3" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ModelCloud/QwQ-32B-Preview-gptqmodel-4bit-vortex-v3", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/ModelCloud/QwQ-32B-Preview-gptqmodel-4bit-vortex-v3
- SGLang
How to use ModelCloud/QwQ-32B-Preview-gptqmodel-4bit-vortex-v3 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 "ModelCloud/QwQ-32B-Preview-gptqmodel-4bit-vortex-v3" \ --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": "ModelCloud/QwQ-32B-Preview-gptqmodel-4bit-vortex-v3", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'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 "ModelCloud/QwQ-32B-Preview-gptqmodel-4bit-vortex-v3" \ --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": "ModelCloud/QwQ-32B-Preview-gptqmodel-4bit-vortex-v3", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use ModelCloud/QwQ-32B-Preview-gptqmodel-4bit-vortex-v3 with Docker Model Runner:
docker model run hf.co/ModelCloud/QwQ-32B-Preview-gptqmodel-4bit-vortex-v3
e035ccce9dadd70f6763881f64d8c25079aef52e10864f8d1d8f0fb08ec6ab06
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