74 lines
2.2 KiB
YAML
74 lines
2.2 KiB
YAML
# ==========================================
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# ACTUAL TEST CASES
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# ==========================================
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test_cases:
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- name: "Qwen3.5-27B-w8a8"
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model: "Eco-Tech/Qwen3.5-27B-w8a8-mtp"
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envs:
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VLLM_USE_MODELSCOPE: "true"
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PYTORCH_NPU_ALLOC_CONF: "expandable_segments:True"
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HCCL_BUFFSIZE: "1024"
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HCCL_OP_EXPANSION_MODE: "AIV"
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OMP_NUM_THREADS: "1"
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TASK_QUEUE_ENABLE: "1"
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SERVER_PORT: "DEFAULT_PORT"
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server_cmd:
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- "--tensor-parallel-size"
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- "2"
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- "--data-parallel-size"
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- "1"
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- "--port"
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- "$SERVER_PORT"
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- "--max-num-seqs"
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- "128"
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- "--quantization"
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- "ascend"
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- "--max-model-len"
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- "196608"
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- "--max-num-batched-tokens"
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- "16384"
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- "--trust-remote-code"
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- "--async-scheduling"
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- "--allowed-local-media-path"
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- "/"
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- "--gpu-memory-utilization"
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- "0.9"
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- "--additional-config"
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- '{"enable_cpu_binding":true}'
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- "--speculative_config"
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- '{"method": "qwen3_5_mtp", "num_speculative_tokens": 3,"enforce_eager": true}'
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- "--compilation-config"
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- '{"cudagraph_capture_sizes":[1,4,8,12,16,24,32,48,56,64,72,84,96,108,112,128,160,172,196,200,212,232,256,272,288,312,328,344,360,384,400,416,432,448,480,512], "cudagraph_mode":"FULL_DECODE_ONLY"}'
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- "--mm-processor-cache-gb"
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- "0"
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benchmarks:
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acc_aime2025:
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case_type: accuracy
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dataset_path: vllm-ascend/aime2025
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request_conf: vllm_api_general_chat
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dataset_conf: aime2025/aime2025_gen_0_shot_chat_prompt
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max_out_len: 65536
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batch_size: 32
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baseline: 90
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threshold: 10
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ignore_eos: false
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thinking: true
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temperature: 1.0
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top_p: 0.95
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top_k: 20
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min_p: 0.0
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presence_penalty: 1.5
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repetition_penalty: 1.0
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perf:
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case_type: performance
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dataset_path: vllm-ascend/GSM8K-in3500-bs8000-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
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num_prompts: 140
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max_out_len: 1500
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batch_size: 35
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request_rate: 0
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baseline: 610.22
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threshold: 0.97
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