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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 5, 21:00 UTC

Add @ZJY0516 to CODEOWNERS (#38497)

Signed-off-by: zjy0516 <riverclouds.zhu@qq.com>

Jiangyun Zhu committed Mar 30, 2026 at 12:10 UTC c133f3374625652c88e122fff995e4126c4635c0
1 file changed +3
.github/CODEOWNERS
+3
@@ -9,6 +9,7 @@
9 /vllm/model_executor/layers/fused_moe @mgoin @pavanimajety
10 /vllm/model_executor/layers/quantization @mgoin @robertgshaw2-redhat @tlrmchlsmth @yewentao256 @pavanimajety
11 /vllm/model_executor/layers/mamba @tdoublep
12 +/vllm/model_executor/layers/mamba/gdn_linear_attn.py @tdoublep @ZJY0516
13 /vllm/model_executor/model_loader @22quinn
14 /vllm/model_executor/layers/batch_invariant.py @yewentao256
15 /vllm/multimodal @DarkLight1337 @ywang96 @NickLucche @tjtanaa
@@ -48,6 +49,7 @@ CMakeLists.txt @tlrmchlsmth @LucasWilkinson
49 /vllm/v1/attention/backends/mla @pavanimajety
50 /vllm/v1/attention/backends/flashinfer.py @mgoin @pavanimajety
51 /vllm/v1/attention/backends/triton_attn.py @tdoublep
52 +/vllm/v1/attention/backends/gdn_attn.py @ZJY0516
53 /vllm/v1/core @WoosukKwon @robertgshaw2-redhat @njhill @ywang96 @alexm-redhat @heheda12345 @ApostaC @orozery
54 /vllm/v1/sample @22quinn @houseroad @njhill
55 /vllm/v1/spec_decode @benchislett @luccafong @MatthewBonanni
@@ -142,6 +144,7 @@ mkdocs.yaml @hmellor
144 # Kernels
145 /vllm/v1/attention/ops/chunked_prefill_paged_decode.py @tdoublep
146 /vllm/v1/attention/ops/triton_unified_attention.py @tdoublep
147 +/vllm/model_executor/layers/fla @ZJY0516
148
149 # ROCm related: specify owner with write access to notify AMD folks for careful code review
150 /vllm/**/*rocm* @tjtanaa