microsoft/Phi-4-reasoning

Overview

Phi-4-reasoning is Microsoft's 14B dense reasoning model. Intel Xeon 6 CPU serving was validated with BF16.

Prerequisites

• Hardware: Intel Xeon 6/Xeon 5 CPUs
• vLLM >= 0.4.2

Docker (Intel Xeon 6 CPUs)

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

Intel Xeon 6

vllm serve microsoft/Phi-4-reasoning  ```

TP/DP values and host-specific CPU placement remain deployment choices and
are not hard-coded into the portable recipe.

## 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](https://huggingface.co/microsoft/Phi-4-reasoning)
- [vLLM CPU installation](https://docs.vllm.ai/en/latest/getting_started/installation/cpu/)