2.7 KiB
vllm-omni serve
Stage-based CLI quickstart
The stage-based CLI is designed for deployments that require launching each pipeline stage in an isolated process (e.g., across separate operating system processes, distinct GPUs, or distributed hosts).
- For migrated models that utilize the bundled deployment YAML configurations located in
vllm_omni/deploy/, the--deploy-configflag is only required to override the default configuration. By default, executingvllm serve MODEL --omni ...automatically loads the bundled deployment configuration. - For legacy models utilizing configuration files located in
vllm_omni/model_executor/stage_configs/, the--stage-configs-pathparameter remains mandatory.
Example: Initializing Stage 0 (Orchestrator and API Server):
The commands below show a common device mapping where Stage 0 uses GPU 0 and
worker stages use GPU 1 via CUDA_VISIBLE_DEVICES.
CUDA_VISIBLE_DEVICES=0 vllm serve Qwen/Qwen3-Omni-30B-A3B-Instruct --omni \
--port 8091 \
--stage-id 0 \
--omni-master-address 127.0.0.1 \
--omni-master-port 26000
Example: Initializing a Headless Worker Stage (Stage 1):
CUDA_VISIBLE_DEVICES=1 vllm serve Qwen/Qwen3-Omni-30B-A3B-Instruct --omni \
--stage-id 1 \
--headless \
--omni-master-address 127.0.0.1 \
--omni-master-port 26000
When utilizing a custom deployment YAML based on the new schema, append --deploy-config /path/to/override.yaml to each command execution. Conversely, for legacy models, substitute this parameter with --stage-configs-path /path/to/stage_configs.yaml.
In the standard execution paradigm, the --stage-overrides argument is utilized to apply stage-specific configurations from a single CLI command.
However, under the stage-based CLI paradigm, where each process strictly encapsulates a single stage, it is recommended to specify tuning parameters directly via discrete command-line flags for the respective stage, rather than constructing a composite --stage-overrides JSON string.
For example, as an alternative to the following composite configuration:
vllm serve Qwen/Qwen3-Omni-30B-A3B-Instruct --omni --port 8091 \
--stage-overrides '{"1": {"gpu_memory_utilization": 0.5}}'
the stage-based CLI permits the direct initialization of Stage 1 with explicit parameters:
CUDA_VISIBLE_DEVICES=1 vllm serve Qwen/Qwen3-Omni-30B-A3B-Instruct --omni \
--stage-id 1 \
--headless \
--gpu-memory-utilization 0.5 \
--omni-master-address 127.0.0.1 \
--omni-master-port 26000
JSON CLI Arguments
--8<-- "docs/cli/json_tip.inc.md"
Arguments
--8<-- "docs/generated/argparse_omni/omni_serve.inc.md"