Skip to main content

Gemma3 27B vLLM recipes

helm recipes

The recipes are written for Helm (mixa3607/charts/vllm), but you can easily rewrite them for Docker.

A. gaunernst/gemma-3-27b-it-qat-autoawq + vLLM 0.12.0

yaml setup
image:
registry: docker.io
repository: mixa3607/vllm-gfx906
tag: 0.12.0-rocm-6.3.3-nlzy-20260309165414

extraEnvVars:
- name: VLLM_SLEEP_WHEN_IDLE
value: "1"
- name: VLLM_USE_V1
value: "1"
- name: VLLM_USE_TRITON_AWQ
value: "1"
- name: VLLM_USE_TRITON_FLASH_ATTN
value: "True"
- name: RECIPE
value: "Setup A"

app-configuration:
vllm.yaml: |-
# basics
model: gaunernst/gemma-3-27b-it-qat-autoawq
served-model-name:
- gemma-3-27b
- gaunernst/gemma-3-27b-it-qat-autoawq
async-scheduling: true
# gpus setup related
max-model-len: 65K
tensor-parallel-size: 4
data-parallel-size: 1
gpu-memory-utilization: 0.95
# multimodality
limit-mm-per-prompt.image: 16