Qwen/QwQ-32B

Overview

QwQ-32B is Qwen's 32B dense reasoning model. The CPU model validation table marks it supported on Intel Xeon 6.

Prerequisites

• Hardware: Intel Xeon 6 CPUs
• vLLM CPU >= 0.8.5 for this validated Xeon 6 configuration

pip (Intel Xeon 6 CPUs)

For Intel and AMD x86 CPUs, follow the CPU pre-built wheels installation instructions.

Docker (Intel Xeon 6 CPUs)

docker pull vllm/vllm-openai-cpu:latest-x86_64

Intel Xeon 6

vllm serve Qwen/QwQ-32B \
  --tensor-parallel-size 1 \
  --enable-auto-tool-choice \
  --tool-call-parser hermes \
  --reasoning-parser deepseek_r1

Docker (the image entrypoint is vllm serve):

docker run \
  --privileged --ipc=host -p 8000:8000 \
  -v ~/.cache/huggingface:/root/.cache/huggingface \
  vllm/vllm-openai-cpu:latest-x86_64 Qwen/QwQ-32B \
  --tensor-parallel-size 1 \
  --enable-auto-tool-choice \
  --tool-call-parser hermes \
  --reasoning-parser deepseek_r1

W8A8 INT8:

vllm serve RedHatAI/QwQ-32B-quantized.w8a8

The example uses TP=1. Adjust tensor parallelism based on system topology; topology-specific CPU binding is intentionally not hard-coded.

Runtime and Platform Tuning

The following settings are intentionally not prescribed as portable CPU model defaults because they depend on the workload, hardware, or runtime environment:

• --max-num-batched-tokens: scheduler/throughput tuning.
• --max-num-seqs: concurrency and scheduler-capacity tuning.
• --gpu-memory-utilization: platform memory-budget tuning.
• --no-enable-prefix-caching: workload/benchmark cache-policy tuning.
• VLLM_ENGINE_ITERATION_TIMEOUT_S: operational runtime timeout.

These settings may still appear in validated hardware-specific overrides. Tune them at deployment time based on platform resources, workload shape, and latency/throughput goals.

References

• Model card
• W8A8 variant
• vLLM reasoning outputs
• vLLM tool calling