[CI]Cleanup accurary test (#4861)
### What this PR does / why we need it?
Delete accuracy testing of some models:
- Qwen2-VL-7B-Instruct
- Qwen2.5-VL-7B-Instruct
- gemma-2-9b-it
- DeepSeek-V2-Lite
- vLLM version: v0.12.0
- vLLM main:
ad32e3e19c
Signed-off-by: MrZ20 <2609716663@qq.com>
This commit is contained in:
@@ -82,7 +82,6 @@ jobs:
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- os: linux-aarch64-a2-1
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model_list:
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- Qwen3-8B
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- Qwen2.5-VL-7B-Instruct
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- Qwen2-Audio-7B-Instruct
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- Qwen3-8B-W8A8
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- Qwen3-VL-8B-Instruct
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@@ -91,7 +90,6 @@ jobs:
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- os: linux-aarch64-a2-1
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model_list:
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- ERNIE-4.5-21B-A3B-PT
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- gemma-2-9b-it
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- gemma-3-4b-it
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- internlm-7b
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- InternVL3_5-8B-hf
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@@ -101,7 +99,6 @@ jobs:
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model_list:
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- Qwen3-30B-A3B
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- Qwen3-VL-30B-A3B-Instruct
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- DeepSeek-V2-Lite
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- Qwen3-30B-A3B-W8A8
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- os: linux-aarch64-a2-4
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model_list:
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@@ -1,16 +0,0 @@
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model_name: "deepseek-ai/DeepSeek-V2-Lite"
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hardware: "Atlas A2 Series"
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tasks:
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- name: "gsm8k"
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metrics:
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- name: "exact_match,strict-match"
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value: 0.385
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- name: "exact_match,flexible-extract"
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value: 0.385
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tensor_parallel_size: 2
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batch_size: 32
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gpu_memory_utilization: 0.7
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apply_chat_template: False
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fewshot_as_multiturn: False
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trust_remote_code: True
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enforce_eager: False
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@@ -1,10 +0,0 @@
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model_name: "Qwen/Qwen2-VL-7B-Instruct"
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hardware: "Atlas A2 Series"
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model: "vllm-vlm"
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tasks:
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- name: "mmmu_val"
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metrics:
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- name: "acc,none"
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value: 0.50
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max_model_len: 8192
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gpu_memory_utilization: 0.7
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@@ -1,9 +0,0 @@
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model_name: "Qwen/Qwen2.5-VL-7B-Instruct"
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hardware: "Atlas A2 Series"
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model: "vllm-vlm"
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tasks:
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- name: "mmmu_val"
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metrics:
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- name: "acc,none"
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value: 0.51
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max_model_len: 8192
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@@ -1,9 +1,6 @@
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DeepSeek-V2-Lite.yaml
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Qwen2.5-VL-7B-Instruct.yaml
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Qwen3-30B-A3B.yaml
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Qwen3-8B.yaml
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Qwen2-7B.yaml
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Qwen2-VL-7B-Instruct.yaml
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Qwen2-Audio-7B-Instruct.yaml
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Qwen3-VL-30B-A3B-Instruct.yaml
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Qwen3-VL-8B-Instruct.yaml
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@@ -11,7 +8,6 @@ Qwen2.5-Omni-7B.yaml
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Meta-Llama-3.1-8B-Instruct.yaml
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InternVL3_5-8B.yaml
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ERNIE-4.5-21B-A3B-PT.yaml
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gemma-2-9b-it.yaml
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gemma-3-4b-it.yaml
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internlm-7b.yaml
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Molmo-7B-D-0924.yaml
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@@ -1,11 +0,0 @@
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model_name: "LLM-Research/gemma-2-9b-it"
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hardware: "Atlas A2 Series"
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tasks:
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- name: "gsm8k"
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metrics:
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- name: "exact_match,strict-match"
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value: 0.46
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- name: "exact_match,flexible-extract"
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value: 0.79
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num_fewshot: 5
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gpu_memory_utilization: 0.8
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