70 lines
2.0 KiB
YAML
70 lines
2.0 KiB
YAML
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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: "Qwen3-32B-W8A8-a3-feature-stack3"
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model: "vllm-ascend/Qwen3-32B-W8A8"
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envs:
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VLLM_USE: "1"
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TASK_QUEUE_ENABLE: "1"
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HCCL_OP_EXPANSION_MODE: "AIV"
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OMP_PROC_BIND: "false"
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VLLM_ASCEND_ENABLE_TOPK_OPTIMIZE: "1"
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VLLM_ASCEND_ENABLE_FLASHCOMM: "1"
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SERVER_PORT: "DEFAULT_PORT"
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prompts:
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- "9.11 and 9.8, which is greater?"
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api_keyword_args:
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chat_template_kwargs:
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enable_thinking: true
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server_cmd:
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- "--quantization"
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- "ascend"
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- "--tensor-parallel-size"
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- "4"
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- "--port"
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- "$SERVER_PORT"
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- "--trust-remote-code"
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- "--reasoning-parser"
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- "qwen3"
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- "--distributed_executor_backend"
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- "mp"
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- "--gpu-memory-utilization"
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- "0.9"
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- "--block-size"
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- "128"
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- "--max-num-seqs"
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- "256"
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- "--enforce-eager"
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- "--max-model-len"
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- "35840"
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- "--max-num-batched-tokens"
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- "35840"
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- "--additional-config"
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- '{"enable_weight_nz_layout":true, "weight_prefetch_config":{"enabled": true}}'
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- "--compilation-config"
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- '{"cudagraph_mode":"FULL_DECODE_ONLY", "cudagraph_capture_sizes":[1,8,24,48,60]}'
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test_content:
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- "chat_completion"
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benchmarks:
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acc:
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case_type: accuracy
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dataset_path: vllm-ascend/gsm8k-lite
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request_conf: vllm_api_general_chat
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dataset_conf: gsm8k/gsm8k_gen_0_shot_noncot_chat_prompt
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max_out_len: 10240
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batch_size: 32
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baseline: 96
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threshold: 4
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perf:
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case_type: performance
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dataset_path: vllm-ascend/GSM8K-in3500-bs400
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request_conf: vllm_api_stream_chat
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dataset_conf: gsm8k/gsm8k_gen_0_shot_cot_str_perf
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num_prompts: 240
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max_out_len: 1500
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batch_size: 60
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baseline: 1
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threshold: 0.97
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