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[Nightly] Avoid max_model_len being smaller than the decoder prompt to prevent single-node-accuray-tests from failing (#5174)

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### What this PR does / why we need it?
[Nightly] Avoid max_model_len being smaller than the decoder prompt to
prevent single-node-accuray-tests from failing
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?

- vLLM version: v0.12.0
- vLLM main:
ad32e3e19c

---------

Signed-off-by: ZT-AIA <1028681969@qq.com>
Signed-off-by: ZT-AIA <63220130+ZT-AIA@users.noreply.github.com>
This commit is contained in:
ZT-AIA
2025-12-18 22:25:45 +08:00
committed by GitHub
parent 632eab28b7
commit 6cb76ecd02
2 changed files with 2 additions and 0 deletions
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1
tests/e2e/models/configs/Qwen3-VL-30B-A3B-Instruct.yaml
View File

@@ -6,6 +6,7 @@ tasks:
metrics: metrics:
- name: "acc,none" - name: "acc,none"
value: 0.58 value: 0.58
max_model_len: 8192
tensor_parallel_size: 2 tensor_parallel_size: 2
gpu_memory_utilization: 0.7 gpu_memory_utilization: 0.7
enable_expert_parallel: True enable_expert_parallel: True

1
tests/e2e/models/configs/Qwen3-VL-8B-Instruct.yaml
View File

@@ -6,5 +6,6 @@ tasks:
metrics: metrics:
- name: "acc,none" - name: "acc,none"
value: 0.55 value: 0.55
max_model_len: 8192
batch_size: 32 batch_size: 32
gpu_memory_utilization: 0.7 gpu_memory_utilization: 0.7