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
[Chore] Clean up CODEOWNERS (#26923)
Signed-off-by: Woosuk Kwon <woosuk.kwon@berkeley.edu>
Woosuk Kwon committed
Oct 15, 2025 at 10:52 UTC
a1063628a48e124f28eb84b621a38928dc7df09d
1 file changed
-3
.github/CODEOWNERS
-3
@@ -5,9 +5,7 @@
5
/vllm/attention @LucasWilkinson
6
/vllm/attention/backends/abstract.py @WoosukKwon @zhuohan123 @youkaichao @alexm-redhat @comaniac @njhill
7
/vllm/executor/executor_base.py @zhuohan123 @youkaichao @alexm-redhat @comaniac @njhill @22quinn
8
-/vllm/worker/worker_base.py @zhuohan123 @youkaichao @alexm-redhat @comaniac @njhill @22quinn
8
/vllm/model_executor/layers/fused_moe @mgoin
10
-/vllm/model_executor/layers/sampler.py @zhuohan123 @youkaichao @alexm-redhat @comaniac @njhill @NickLucche
9
/vllm/model_executor/layers/quantization @mgoin @robertgshaw2-redhat @tlrmchlsmth @yewentao256
10
/vllm/model_executor/layers/mamba @tdoublep
11
/vllm/model_executor/model_loader @22quinn
@@ -26,7 +24,6 @@ CMakeLists.txt @tlrmchlsmth @LucasWilkinson
24
/vllm/config/cache.py @simon-mo @WoosukKwon @youkaichao @robertgshaw2-redhat @mgoin @tlrmchlsmth @houseroad @hmellor @yewentao256 @ProExpertProg @heheda12345
25
26
# vLLM V1
29
-/vllm/v1 @WoosukKwon @robertgshaw2-redhat @njhill @ywang96 @comaniac @alexm-redhat
27
/vllm/v1/attention @LucasWilkinson
28
/vllm/v1/attention/backends/flashinfer.py @mgoin
29
/vllm/v1/attention/backends/triton_attn.py @tdoublep