xc-llm-ascend/tests/e2e/models/configs/Qwen3-VL-8B-Instruct.yaml

model_name: "Qwen/Qwen3-VL-8B-Instruct"
hardware: "Atlas A2 Series"
model: "vllm-vlm"
tasks:
- name: "mmmu_val"
  metrics:
  - name: "acc,none"
    value: 0.55
max_model_len: 8192
batch_size: 32
gpu_memory_utilization: 0.7
[Test]Add accuracy test for multiple models (#3823) ### What this PR does / why we need it? Add accuracy test for multiple models： - Meta_Llama_3.1_8B_Instruct - Qwen2.5-Omni-7B - Qwen3-VL-8B-Instruct - vLLM version: v0.11.0 - vLLM main: https://github.com/vllm-project/vllm/commit/83f478bb19489b41e9d208b47b4bb5a95ac171ac --------- Signed-off-by: MrZ20 <2609716663@qq.com> 2025-11-04 14:46:39 +08:00			`model_name: "Qwen/Qwen3-VL-8B-Instruct"`
			`hardware: "Atlas A2 Series"`
			`model: "vllm-vlm"`
			`tasks:`
			`- name: "mmmu_val"`
			`metrics:`
			`- name: "acc,none"`
			`value: 0.55`
[Nightly] Avoid max_model_len being smaller than the decoder prompt to prevent single-node-accuray-tests from failing (#5174) ### 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: https://github.com/vllm-project/vllm/commit/ad32e3e19ccf0526cb6744a5fed09a138a5fb2f9 --------- Signed-off-by: ZT-AIA <1028681969@qq.com> Signed-off-by: ZT-AIA <63220130+ZT-AIA@users.noreply.github.com> 2025-12-18 22:25:45 +08:00			`max_model_len: 8192`
[Test]Add accuracy test for multiple models (#3823) ### What this PR does / why we need it? Add accuracy test for multiple models： - Meta_Llama_3.1_8B_Instruct - Qwen2.5-Omni-7B - Qwen3-VL-8B-Instruct - vLLM version: v0.11.0 - vLLM main: https://github.com/vllm-project/vllm/commit/83f478bb19489b41e9d208b47b4bb5a95ac171ac --------- Signed-off-by: MrZ20 <2609716663@qq.com> 2025-11-04 14:46:39 +08:00			`batch_size: 32`
			`gpu_memory_utilization: 0.7`