vLLM/Recipes
Z.ai

zai-org/glm-4-9b-hf

GLM-4 9B dense base language model with 8K context.

Validated on Intel Xeon 6 with BF16 serving

dense9B8,192 ctxvLLM 0.6.4+text
Guide

Overview

GLM-4-9B is the dense base model in the GLM-4 9B family. Intel Xeon 6 CPU serving was validated with BF16.

Prerequisites

  • Hardware: Intel Xeon 6/Xeon 5 CPUs
  • vLLM >= 0.6.4

Docker (Intel Xeon 6 CPUs)

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

Intel Xeon 6

vllm serve zai-org/glm-4-9b-hf  ```

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/zai-org/glm-4-9b-hf)
- [vLLM CPU installation](https://docs.vllm.ai/en/latest/getting_started/installation/cpu/)