Zhou TaichangandClaude Opus 5
aff7d64948
Signed-off-by: tzhouam <tzhouam@connect.ust.hk> Signed-off-by: Zhou Taichang <tzhouam@connect.ust.hk> Co-authored-by: Claude Opus 5 <noreply@anthropic.com>
24 lines
1.2 KiB
Markdown
24 lines
1.2 KiB
Markdown
# Configuration Options
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This section lists the most common options for running vLLM-Omni.
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For options within a vLLM Engine, please refer to the [vLLM 0.29 configuration guide](https://docs.vllm.ai/en/v0.29.0/configuration/index.html).
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Each model defines fixed topology in a registered `PipelineConfig` and runtime
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overrides in a deploy YAML.
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For process-level settings shared by the CLI, deploy YAML, workers, and model
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integrations, see [Environment Variables](./environment_variables.md).
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For a specific example, see the [Qwen2.5-Omni deploy config](gh-file:vllm_omni/deploy/qwen2_5_omni.yaml). The matching frozen pipeline topology lives at [vllm_omni/model_executor/models/qwen2_5_omni/pipeline.py](gh-file:vllm_omni/model_executor/models/qwen2_5_omni/pipeline.py).
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For an introduction, see [Pipeline and deploy configurations](./stage_configs.md).
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## Memory Configuration
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- **[GPU Memory Calculation and Configuration](./gpu_memory_utilization.md)** - Guide on how to calculate memory requirements and set up `gpu_memory_utilization` for optimal performance
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## Optimization Features
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- **[Diffusion Features Overview](../user_guide/diffusion_features.md)** - Complete overview of all diffusion model features and supported models
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