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/.buildkite/ @yenuo26 @congw729
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/.buildkite/ @yenuo26 @congw729
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# Engine and model_executor
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# Engine and model_executor
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/vllm_omni/core/ @tzhouam @yinpeiqi @fake0fan
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/vllm_omni/core/ @tzhouam @yinpeiqi @fake0fan @Sy0307
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/vllm_omni/engine/ @tzhouam @yinpeiqi @fake0fan
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/vllm_omni/engine/ @tzhouam @yinpeiqi @fake0fan @Sy0307
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/vllm_omni/entrypoints/ @tzhouam @yinpeiqi @fake0fan
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/vllm_omni/entrypoints/ @tzhouam @yinpeiqi @fake0fan @alex-jw-brooks
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/vllm_omni/model_executor/ @tzhouam @gcanlin
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/vllm_omni/model_executor/ @tzhouam @gcanlin
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/vllm_omni/worker/ @tzhouam @gcanlin
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/vllm_omni/worker/ @tzhouam @gcanlin
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# Diffusion
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# Diffusion
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/vllm_omni/diffusion/ @Isotr0py @princepride @SamitHuang @wtomin @ZJY0516 @RuixiangMa @david6666666
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/vllm_omni/diffusion/ @Isotr0py @princepride @SamitHuang @wtomin @ZJY0516 @RuixiangMa @david6666666 @xuechendi
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/vllm_omni/lora/ @princepride @SamitHuang @wtomin @ZJY0516 @RuixiangMa @yuanheng-zhao
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/vllm_omni/lora/ @princepride @SamitHuang @wtomin @ZJY0516 @RuixiangMa @yuanheng-zhao
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# Diffusion CPU offloading
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# Diffusion CPU offloading
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/vllm_omni/diffusion/offloader/ @Isotr0py @princepride @SamitHuang @wtomin @ZJY0516 @RuixiangMa @yuanheng-zhao
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/vllm_omni/diffusion/offloader/ @Isotr0py @princepride @SamitHuang @wtomin @ZJY0516 @RuixiangMa @yuanheng-zhao @xuechendi
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# Omni and TTS support
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# Omni and TTS support
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/vllm_omni/transformers_utils/ @tzhouam @yuanheng-zhao
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/vllm_omni/transformers_utils/ @tzhouam @yuanheng-zhao
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/vllm_omni/model_executor/models/ @linyueqian @ZeldaHuang @princepride @yuanheng-zhao @amy-why-3459 @Bounty-hunter
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/vllm_omni/model_executor/models/ @linyueqian @ZeldaHuang @princepride @yuanheng-zhao @amy-why-3459 @Bounty-hunter @Sy0307 @gcanlin
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# Benchmarks
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# Benchmarks
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/benchmarks/accuracy/ @david6666666
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/benchmarks/accuracy/ @david6666666
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/benchmarks/build_dataset/ @linyueqian @yuanheng-zhao
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/benchmarks/build_dataset/ @linyueqian @yuanheng-zhao
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/benchmarks/diffusion/ @Isotr0py @princepride @SamitHuang @wtomin @ZJY0516 @RuixiangMa
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/benchmarks/diffusion/ @Isotr0py @princepride @SamitHuang @wtomin @ZJY0516 @RuixiangMa @xuechendi
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/benchmarks/distributed/ @princepride
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/benchmarks/distributed/ @princepride
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/benchmarks/glm_image/ @princepride @JaredforReal
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/benchmarks/glm_image/ @princepride @JaredforReal
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/benchmarks/tts/ @linyueqian @ZeldaHuang @princepride
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/benchmarks/tts/ @linyueqian @ZeldaHuang @princepride @Sy0307 @gcanlin
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# Usability and Observability
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# Usability and Observability
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/vllm_omni/deploy/ @tzhouam @lishunyang12
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/vllm_omni/deploy/ @tzhouam @lishunyang12
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@@ -53,13 +53,13 @@
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/vllm_omni/profiler/ @gcanlin
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/vllm_omni/profiler/ @gcanlin
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# ComfyUI
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# ComfyUI
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/apps/ @fhfuih
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/apps/ @fhfuih @alex-jw-brooks
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# Large Scale Serving
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# Large Scale Serving
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/vllm_omni/distributed/ @princepride @yuanheng-zhao @xuechendi @natureofnature @fake0fan
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/vllm_omni/distributed/ @princepride @yuanheng-zhao @xuechendi @natureofnature @fake0fan
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# Quantization and configuration
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# Quantization and configuration
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/vllm_omni/config/ @lishunyang12
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/vllm_omni/config/ @lishunyang12 @alex-jw-brooks
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/vllm_omni/quantization/ @david6666666 @Isotr0py @lishunyang12
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/vllm_omni/quantization/ @david6666666 @Isotr0py @lishunyang12
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# Hardware plugins and accelerators
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# Hardware plugins and accelerators
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@@ -33,16 +33,20 @@ Lead maintainers are responsible for the overall direction and strategy of the p
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Committers have write access and merge rights. They typically have deep expertise in specific areas of this project and shepherd the community contributions:
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Committers have write access and merge rights. They typically have deep expertise in specific areas of this project and shepherd the community contributions:
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- [@alex-jw-brooks](https://github.com/alex-jw-brooks): Frontend, Configuration, and Entrypoint Support
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- [@amy-why-3459](https://github.com/amy-why-3459): Omni Modality Model and World Model Support
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- [@david6666666](https://github.com/david6666666): Quantization and Community Relationship
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- [@david6666666](https://github.com/david6666666): Quantization and Community Relationship
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- [@gcanlin](https://github.com/gcanlin): Hardware plugin and NPU integration
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- [@gcanlin](https://github.com/gcanlin): Hardware plugin, NPU integration, and TTS Model Support
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- [@Isotr0py](https://github.com/Isotr0py): Diffusion and Quantization
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- [@Isotr0py](https://github.com/Isotr0py): Diffusion and Quantization
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- [@linyueqian](https://github.com/linyueqian): TTS and Omni Support
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- [@linyueqian](https://github.com/linyueqian): TTS and Omni Support
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- [@lishunyang12](https://github.com/lishunyang12): Quantization and Configuration
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- [@lishunyang12](https://github.com/lishunyang12): Quantization and Configuration
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- [@princepride](https://github.com/princepride): Diffusion and Omni Support
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- [@princepride](https://github.com/princepride): Diffusion and Omni Support
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- [@RuixiangMa](https://github.com/RuixiangMa): Diffusion models, parallel, cache, and docs
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- [@RuixiangMa](https://github.com/RuixiangMa): Diffusion models, parallel, cache, and docs
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- [@SamitHuang](https://github.com/SamitHuang): RL, Diffusion, and cache
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- [@SamitHuang](https://github.com/SamitHuang): RL, Diffusion, and cache
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- [@Sy0307](https://github.com/Sy0307): TTS Model and AR Engine Support
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- [@tzhouam](https://github.com/tzhouam): Engine and New Model Support
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- [@tzhouam](https://github.com/tzhouam): Engine and New Model Support
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- [@wtomin](https://github.com/wtomin): Diffusion models, parallel, and docs
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- [@wtomin](https://github.com/wtomin): Diffusion models, parallel, and docs
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- [@xuechendi](https://github.com/xuechendi): Diffusion and Intel GPU Support
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- [@ZeldaHuang](https://github.com/ZeldaHuang): Omni Support
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- [@ZeldaHuang](https://github.com/ZeldaHuang): Omni Support
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- [@ZJY0516](https://github.com/ZJY0516): Diffusion attention backend, kernel fusion, and CustomOp
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- [@ZJY0516](https://github.com/ZJY0516): Diffusion attention backend, kernel fusion, and CustomOp
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- [@yuanheng-zhao](https://github.com/yuanheng-zhao): Diffusion cache, offload, and Omni Support
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- [@yuanheng-zhao](https://github.com/yuanheng-zhao): Diffusion cache, offload, and Omni Support
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@@ -53,7 +57,7 @@ This section breaks down diffusion-related responsibilities. If you have PRs tou
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### Runtime-related
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### Runtime-related
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- Diffusion models: @RuixiangMa, @wtomin
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- Diffusion models: @RuixiangMa, @wtomin, @xuechendi
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### Optimization
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### Optimization
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@@ -61,6 +65,7 @@ This section breaks down diffusion-related responsibilities. If you have PRs tou
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- Attention backend: @ZJY0516
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- Attention backend: @ZJY0516
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- Cache: @yuanheng-zhao, @RuixiangMa, @SamitHuang
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- Cache: @yuanheng-zhao, @RuixiangMa, @SamitHuang
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- Offload: @yuanheng-zhao
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- Offload: @yuanheng-zhao
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- Intel GPU support: @xuechendi
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- Quantization: @lishunyang12, @david6666666
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- Quantization: @lishunyang12, @david6666666
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- Kernel fusion / communication-computation: @ZJY0516
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- Kernel fusion / communication-computation: @ZJY0516
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