[E2E] Optimize nightly testcase. (#4886)

### What this PR does / why we need it?
Optimize nightly testcase.
Changes:
- tests/e2e/nightly/multi_node/config/models/Qwen3-235B-A3B.yaml: Add
accuracy and performance benchmark
- tests/e2e/models/configs/Qwen3-8B-Base.yaml: Delete
- tests/e2e/models/configs/internlm-7b.yaml: Change to
internlm3-8b-instruct
- tests/e2e/nightly/models/test_deepseek_r1_w8a8_eplb.py: Change to
DeepSeek-R1-0528-W8A8 model

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

Signed-off-by: menogrey <1299267905@qq.com>
This commit is contained in:
zhangyiming
2025-12-11 10:15:39 +08:00
committed by GitHub
parent 66b0781840
commit c95c271538
8 changed files with 17 additions and 20 deletions

View File

@@ -0,0 +1,13 @@
model_name: "Shanghai_AI_Laboratory/internlm3-8b-instruct"
hardware: "Atlas A2 Series"
tasks:
- name: "ceval-valid"
metrics:
- name: "acc,none"
value: 0.42
num_fewshot: 5
max_model_len: 2048
trust_remote_code: True
dtype: "bfloat16"
apply_chat_template: False
fewshot_as_multiturn: False