gahow/agentic-kvc
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Add vLLM v0.18.1 source tree with KV transfer abort fix

Browse Source 
third_party/vllm/ now tracked in git for direct patch management.
Based on vLLM v0.18.1 release with one patch applied:

  vllm/v1/core/sched/scheduler.py:
    Replace fatal assert with graceful skip when KV transfer callback
    arrives for an already-aborted request during PD disaggregated serving.

Future vLLM modifications should be made directly in third_party/vllm/
and committed normally. The patches/ directory is kept as documentation
of what changed from upstream.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
Gahow Wang
2026-05-22 00:30:38 +08:00
parent b6591950bc
commit 445e491123
4285 changed files with 1111303 additions and 1 deletions
Download Patch File Download Diff File Expand all files Collapse all files

7
third_party/vllm/tests/evals/gsm8k/configs/moe-refactor-dp-ep/Llama-4-Scout-Fp8-ModelOpt-triton.yaml vendored Normal file
View File

@@ -0,0 +1,7 @@
model_name: "nvidia/Llama-4-Scout-17B-16E-Instruct-FP8"
accuracy_threshold: 0.92
num_questions: 1319
num_fewshot: 5
server_args: "--enforce-eager --max-model-len 8192 --data-parallel-size 2 --enable-expert-parallel --moe-backend=triton"
env:
VLLM_USE_DEEP_GEMM: "0"

5
third_party/vllm/tests/evals/gsm8k/configs/moe-refactor-dp-ep/Qwen3-30B-A3B-BF16-triton.yaml vendored Normal file
View File

@@ -0,0 +1,5 @@
model_name: "Qwen/Qwen3-30B-A3B"
accuracy_threshold: 0.88
num_questions: 1319
num_fewshot: 5
server_args: "--enforce-eager --max-model-len 8192 --data-parallel-size 2 --enable-expert-parallel"

8
third_party/vllm/tests/evals/gsm8k/configs/moe-refactor-dp-ep/Qwen3-30B-A3B-Fp8-AutoFp8-deepgemm-deepep-ht.yaml vendored Normal file
View File

@@ -0,0 +1,8 @@
model_name: "Qwen/Qwen3-Coder-30B-A3B-Instruct-FP8"
accuracy_threshold: 0.88
num_questions: 1319
num_fewshot: 5
server_args: "--enforce-eager --max-model-len 8192 --data-parallel-size 2 --enable-expert-parallel --all2all-backend deepep_high_throughput"
env:
VLLM_USE_DEEP_GEMM: "1"
VLLM_USE_DEEP_GEMM_MOE: "1"

8
third_party/vllm/tests/evals/gsm8k/configs/moe-refactor-dp-ep/Qwen3-30B-A3B-Fp8-AutoFp8-deepgemm-deepep-ll.yaml vendored Normal file
View File

@@ -0,0 +1,8 @@
model_name: "Qwen/Qwen3-Coder-30B-A3B-Instruct-FP8"
accuracy_threshold: 0.88
num_questions: 1319
num_fewshot: 5
server_args: "--enforce-eager --max-model-len 8192 --data-parallel-size 2 --enable-expert-parallel --all2all-backend deepep_low_latency --disable-uvicorn-access-log"
env:
VLLM_USE_DEEP_GEMM: "1"
VLLM_USE_DEEP_GEMM_MOE: "1"

8
third_party/vllm/tests/evals/gsm8k/configs/moe-refactor-dp-ep/Qwen3-30B-A3B-Fp8-AutoFp8-deepgemm.yaml vendored Normal file
View File

@@ -0,0 +1,8 @@
model_name: "Qwen/Qwen3-Coder-30B-A3B-Instruct-FP8"
accuracy_threshold: 0.88
num_questions: 1319
num_fewshot: 5
server_args: "--enforce-eager --max-model-len 8192 --data-parallel-size 2 --enable-expert-parallel"
env:
VLLM_USE_DEEP_GEMM: "1"
VLLM_USE_DEEP_GEMM_MOE: "1"

8
third_party/vllm/tests/evals/gsm8k/configs/moe-refactor-dp-ep/Qwen3-30B-A3B-Fp8-CT-Block-deepgemm-deepep-ht.yaml vendored Normal file
View File

@@ -0,0 +1,8 @@
model_name: "RedHatAI/Qwen3-30B-A3B-FP8-block"
accuracy_threshold: 0.85
num_questions: 1319
num_fewshot: 5
server_args: "--enforce-eager --max-model-len 8192 --data-parallel-size 2 --enable-expert-parallel --all2all-backend deepep_high_throughput"
env:
VLLM_USE_DEEP_GEMM: "1"
VLLM_USE_DEEP_GEMM_MOE: "1"

8
third_party/vllm/tests/evals/gsm8k/configs/moe-refactor-dp-ep/Qwen3-30B-A3B-Fp8-CT-Block-deepgemm-deepep-ll.yaml vendored Normal file
View File

@@ -0,0 +1,8 @@
model_name: "RedHatAI/Qwen3-30B-A3B-FP8-block"
accuracy_threshold: 0.85
num_questions: 1319
num_fewshot: 5
server_args: "--enforce-eager --max-model-len 8192 --data-parallel-size 2 --enable-expert-parallel --all2all-backend deepep_low_latency --disable-uvicorn-access-log"
env:
VLLM_USE_DEEP_GEMM: "1"
VLLM_USE_DEEP_GEMM_MOE: "1"

8
third_party/vllm/tests/evals/gsm8k/configs/moe-refactor-dp-ep/Qwen3-30B-A3B-Fp8-CT-Block-deepgemm.yaml vendored Normal file
View File

@@ -0,0 +1,8 @@
model_name: "RedHatAI/Qwen3-30B-A3B-FP8-block"
accuracy_threshold: 0.85
num_questions: 1319
num_fewshot: 5
server_args: "--enforce-eager --max-model-len 8192 --data-parallel-size 2 --enable-expert-parallel"
env:
VLLM_USE_DEEP_GEMM: "1"
VLLM_USE_DEEP_GEMM_MOE: "1"

5
third_party/vllm/tests/evals/gsm8k/configs/moe-refactor-dp-ep/Qwen3-30B-A3B-NvFp4-CT-fi-cutedsl-deepep-ll.yaml vendored Normal file
View File

@@ -0,0 +1,5 @@
model_name: "RedHatAI/Qwen3-30B-A3B-NVFP4"
accuracy_threshold: 0.88
num_questions: 1319
num_fewshot: 5
server_args: "--enforce-eager --max-model-len 8192 --data-parallel-size 2 --enable-expert-parallel --all2all-backend deepep_low_latency --moe-backend=flashinfer_cutedsl"

5
third_party/vllm/tests/evals/gsm8k/configs/moe-refactor-dp-ep/Qwen3-30B-A3B-NvFp4-CT-fi-cutlass.yaml vendored Normal file
View File

@@ -0,0 +1,5 @@
model_name: "RedHatAI/Qwen3-30B-A3B-NVFP4"
accuracy_threshold: 0.88
num_questions: 1319
num_fewshot: 5
server_args: "--enforce-eager --max-model-len 8192 --data-parallel-size 2 --enable-expert-parallel --moe-backend=flashinfer_cutlass"

5
third_party/vllm/tests/evals/gsm8k/configs/moe-refactor-dp-ep/Qwen3-30B-A3B-NvFp4-ModelOpt-fi-cutedsl-deepep-ll.yaml vendored Normal file
View File

@@ -0,0 +1,5 @@
model_name: "nvidia/Qwen3-30B-A3B-NVFP4"
accuracy_threshold: 0.88
num_questions: 1319
num_fewshot: 5
server_args: "--enforce-eager --max-model-len 8192 --data-parallel-size 2 --enable-expert-parallel --all2all-backend deepep_low_latency --moe-backend=flashinfer_cutedsl"

5
third_party/vllm/tests/evals/gsm8k/configs/moe-refactor-dp-ep/Qwen3-30B-A3B-NvFp4-ModelOpt-fi-cutlass.yaml vendored Normal file
View File

@@ -0,0 +1,5 @@
model_name: "nvidia/Qwen3-30B-A3B-NVFP4"
accuracy_threshold: 0.88
num_questions: 1319
num_fewshot: 5
server_args: "--enforce-eager --max-model-len 8192 --data-parallel-size 2 --enable-expert-parallel --moe-backend=flashinfer_cutlass"

5
third_party/vllm/tests/evals/gsm8k/configs/moe-refactor-dp-ep/Qwen3-30B-A3B-NvFp4-ModelOpt-fi-trtllm.yaml vendored Normal file
View File

@@ -0,0 +1,5 @@
model_name: "nvidia/Qwen3-30B-A3B-NVFP4"
accuracy_threshold: 0.88
num_questions: 1319
num_fewshot: 5
server_args: "--enforce-eager --max-model-len 8192 --data-parallel-size 2 --enable-expert-parallel --moe-backend=flashinfer_trtllm"

12
third_party/vllm/tests/evals/gsm8k/configs/moe-refactor-dp-ep/config-b200.txt vendored Normal file
View File

@@ -0,0 +1,12 @@
Qwen3-30B-A3B-NvFp4-CT-fi-cutedsl-deepep-ll.yaml
Qwen3-30B-A3B-NvFp4-ModelOpt-fi-cutedsl-deepep-ll.yaml
Qwen3-30B-A3B-NvFp4-CT-fi-cutlass.yaml
Qwen3-30B-A3B-NvFp4-ModelOpt-fi-trtllm.yaml
Qwen3-30B-A3B-NvFp4-ModelOpt-fi-cutlass.yaml
Qwen3-30B-A3B-Fp8-AutoFp8-deepgemm-deepep-ht.yaml
Qwen3-30B-A3B-Fp8-AutoFp8-deepgemm-deepep-ll.yaml
Qwen3-30B-A3B-Fp8-AutoFp8-deepgemm.yaml
Qwen3-30B-A3B-Fp8-CT-Block-deepgemm-deepep-ht.yaml
Qwen3-30B-A3B-Fp8-CT-Block-deepgemm-deepep-ll.yaml
Qwen3-30B-A3B-Fp8-CT-Block-deepgemm.yaml
Qwen3-30B-A3B-BF16-triton.yaml