@@ -0,0 +1,59 @@
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# ==========================================
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# ACTUAL TEST CASES
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# ==========================================
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test_cases:
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- name: "qwen3-14b"
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model: "vllm-ascend/Qwen3-14B-w8a8sc-310-vllm-tp1"
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envs:
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SERVER_PORT: "DEFAULT_PORT"
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server_cmd:
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- "--port"
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- "$SERVER_PORT"
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- "--tensor-parallel-size"
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- "1"
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- "--gpu-memory-utilization"
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- "0.8"
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- "--max-num-seqs"
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- "32"
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- "--dtype"
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- "float16"
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- "--quantization"
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- "ascend"
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- "--max-model-len"
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- "20480"
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- "--no-enable-prefix-caching"
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- "--load_format"
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- "sharded_state"
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- "--compilation-config"
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- '{"cudagraph_mode":"FULL_DECODE_ONLY", "cudagraph_capture_sizes":[1,4,8,16,24,32]}'
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- "--additional-config"
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- '{"ascend_compilation_config":{"enable_npugraph_ex":false, "fuse_norm_quant": false}}'
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- "--default-chat-template-kwargs"
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- '{"enable_thinking": false}'
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benchmarks:
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perf:
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case_type: performance
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dataset_path: vllm-ascend/GSM8K-in512-bs100-qwen3
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request_conf: vllm_api_stream_chat
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dataset_conf: gsm8k/gsm8k_gen_0_shot_cot_str_perf
|
||||
num_prompts: 4
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||||
max_out_len: 512
|
||||
batch_size: 1
|
||||
request_rate: 0
|
||||
baseline: 10.7
|
||||
threshold: 0.95
|
||||
acc:
|
||||
case_type: accuracy
|
||||
dataset_path: vllm-ascend/SuperGLUE
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||||
request_conf: vllm_api_general_chat
|
||||
dataset_conf: SuperGLUE/SuperGLUE_BoolQ_gen_0_shot_cot_str
|
||||
max_out_len: 10240
|
||||
batch_size: 32
|
||||
baseline: 89.3
|
||||
threshold: 1
|
||||
temperature: 0
|
||||
top_p: 0.95
|
||||
ignore_eos: false
|
||||
|
||||
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