- environment_variable_inventory: VLLM_OMNI_CPU_INDUCTOR / HW_PROFILE / INIT_TIMELINE / STEP_STATS_DIR (public), STAGE_ID / INIT_TIMELINE_DIR (internal); reference page rows added. - edge_decoder_client.LocalDecoder: batched_chunked_decode takes a [B, Q, F] tensor, not a list (the WP5 e2e run failed with a TypeError); the decoder now also carries the ramp schedule attributes the Code2Wav stage sets. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Configuration Options
This section lists the most common options for running vLLM-Omni.
For options within a vLLM Engine, please refer to the vLLM 0.28 configuration guide.
Each model defines fixed topology in a registered PipelineConfig and runtime
overrides in a deploy YAML.
For process-level settings shared by the CLI, deploy YAML, workers, and model integrations, see Environment Variables.
For a specific example, see the Qwen2.5-Omni deploy config. The matching frozen pipeline topology lives at vllm_omni/model_executor/models/qwen2_5_omni/pipeline.py.
For an introduction, see Pipeline and deploy configurations.
Memory Configuration
- GPU Memory Calculation and Configuration - Guide on how to calculate memory requirements and set up
gpu_memory_utilizationfor optimal performance
Optimization Features
- Diffusion Features Overview - Complete overview of all diffusion model features and supported models