[Docs] Add @gau-nernst to CODEOWNERS and committers (#59369)

Signed-off-by: Thien Tran <gau.nernst@yahoo.com.sg>
Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
This commit is contained in:
Thien Tran
2026-09-30 16:23:40 +00:00
committed by GitHub
co-authored by mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
parent 0f8b398158
commit 8873ac83bb
2 changed files with 10 additions and 0 deletions
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@@ -158,6 +158,7 @@ mkdocs.yaml @hmellor
# Qwen-specific files
/vllm/model_executor/models/qwen* @sighingnow @vadiklyutiy
/vllm/transformers_utils/configs/qwen* @sighingnow @vadiklyutiy
/vllm/models/qwen4_exp @gau-nernst
# MTP-specific files
/vllm/model_executor/models/deepseek_mtp.py @luccafong
@@ -166,6 +167,9 @@ mkdocs.yaml @hmellor
/vllm/models/deepseek_v4 @zyongye
/vllm/model_executor/layers/sparse_attn_indexer.py @zyongye
# Kimi-K3-specific files
/vllm/models/kimi_k3/nvidia/kda.py @gau-nernst
# Mistral-specific files
/vllm/model_executor/models/mistral*.py @patrickvonplaten
/vllm/model_executor/models/mixtral*.py @patrickvonplaten
@@ -178,6 +182,10 @@ mkdocs.yaml @hmellor
/vllm/v1/attention/ops/chunked_prefill_paged_decode.py @tdoublep
/vllm/v1/attention/ops/triton_unified_attention.py @tdoublep
/vllm/third_party/flash_linear_attention @ZJY0516 @vadiklyutiy
/vllm/model_executor/layers/mamba/ops/gdn_chunk_cutedsl @gau-nernst
/vllm/model_executor/layers/fused_moe/router/bf16x3_router_gemm_cutedsl.py @gau-nernst
/vllm/model_executor/kernels/linear/cute_dsl/gemm_rs_ar.py @gau-nernst
/vllm/cute_utils @gau-nernst
# ROCm related: specify owner with write access to notify AMD folks for careful code review
/vllm/**/*rocm* @tjtanaa @dllehr-amd @shen-shanshan
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@@ -22,6 +22,7 @@ Sorted alphabetically by GitHub handle:
- [@DarkLight1337](https://github.com/DarkLight1337): Multimodality, API server
- [@dllehr-amd](https://github.com/dllehr-amd): AMD integration
- [@esmeetu](https://github.com/esmeetu): developer marketing, community
- [@gau-nernst](https://github.com/gau-nernst): Kernels and performance
- [@gshtras](https://github.com/gshtras): ROCm / AMD GPU integration
- [@Harry-Chen](https://github.com/Harry-Chen): Build, CI, CUDA architecture
- [@heheda12345](https://github.com/heheda12345): Hybrid memory allocator
@@ -177,6 +178,7 @@ If you have PRs touching the area, please feel free to ping the area owner for r
- FlashInfer: @LucasWilkinson, @mgoin, @WoosukKwon, @MatthewBonanni, @wzhao18
- Blackwell Kernels: @mgoin, @yewentao256
- DeepEP/DeepGEMM: @mgoin, @yewentao256
- FlashKDA: @gau-nernst
### Integrations