A high-throughput and memory-efficient inference and serving engine for LLMs
Mirrored from https://github.com/tduncan-lum/Nvidia-Optimization-Stack---VLLM.git
Synced Nov 14, 05:30 UTC
Add @pavanimajety to .github/codeowners for Flashinfer, ModelOpt related code (#27213)
Signed-off-by: Pavani Majety <pmajety@nvidia.com>
Pavani Majety committed
Oct 21, 2025 at 07:59 UTC
ecc3c0940a0993fe93e390f9fcf296b658482c33
1 file changed
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.github/CODEOWNERS
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/vllm/attention @LucasWilkinson
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/vllm/attention/backends/abstract.py @WoosukKwon @zhuohan123 @youkaichao @alexm-redhat @comaniac @njhill
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/vllm/executor/executor_base.py @zhuohan123 @youkaichao @alexm-redhat @comaniac @njhill @22quinn
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-/vllm/model_executor/layers/fused_moe @mgoin
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-/vllm/model_executor/layers/quantization @mgoin @robertgshaw2-redhat @tlrmchlsmth @yewentao256
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+/vllm/model_executor/layers/fused_moe @mgoin @pavanimajety
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+/vllm/model_executor/layers/quantization @mgoin @robertgshaw2-redhat @tlrmchlsmth @yewentao256 @pavanimajety
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/vllm/model_executor/layers/mamba @tdoublep
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/vllm/model_executor/model_loader @22quinn
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/vllm/multimodal @DarkLight1337 @ywang96 @NickLucche
@@ -25,7 +25,8 @@ CMakeLists.txt @tlrmchlsmth @LucasWilkinson
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# vLLM V1
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/vllm/v1/attention @LucasWilkinson
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-/vllm/v1/attention/backends/flashinfer.py @mgoin
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+/vllm/v1/attention/backends/mla @pavanimajety
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+/vllm/v1/attention/backends/flashinfer.py @mgoin @pavanimajety
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/vllm/v1/attention/backends/triton_attn.py @tdoublep
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/vllm/v1/core @WoosukKwon @robertgshaw2-redhat @njhill @ywang96 @comaniac @alexm-redhat @heheda12345 @ApostaC
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/vllm/v1/sample @22quinn @houseroad @njhill
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/tests/kernels @mgoin @tlrmchlsmth @WoosukKwon @yewentao256
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/tests/models @DarkLight1337 @ywang96
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/tests/multimodal @DarkLight1337 @ywang96 @NickLucche
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-/tests/quantization @mgoin @robertgshaw2-redhat @yewentao256
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+/tests/quantization @mgoin @robertgshaw2-redhat @yewentao256 @pavanimajety
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/tests/test_inputs.py @DarkLight1337 @ywang96
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/tests/v1/entrypoints/llm/test_struct_output_generate.py @mgoin @russellb @aarnphm
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/tests/v1/structured_output @mgoin @russellb @aarnphm