391866785e
From competitor docker log analysis: - max_model_len: 100000 → 256000 (competitor proven, 19259 GPU blocks) - gpu_memory_utilization: 0.90 → 0.95 (competitor proven) - max_num_batched_tokens: None → 4096 (competitor proven) - enable_chunked_prefill: off → on (competitor proven, critical for 256K context) - max_num_seqs stays at 2 (matches competitor) Competitor Sub168 scored 60194 with these exact params before OOM at replay tail. Our code has OOM-surviving advantages they lack (n>1 clamp, max_completion_tokens). Docker log evidence: competitor's vLLM started with 19259 GPU blocks at 0.95 util, ran for ~1h18m before OOM in layernorm.py x.float() at 31.72 GiB GPU.
54 lines
1.4 KiB
YAML
54 lines
1.4 KiB
YAML
concurrency: 1
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command:
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- python3
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- -m
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- vllm.entrypoints.openai.api_server
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- --model
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- /model
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- --served-model-name
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- llm
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- --max-model-len
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- '256000'
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- --gpu-memory-utilization
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- '0.95'
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- --trust-remote-code
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- -tp
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- '4'
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- --max-num-seqs
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- '2'
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- --max-num-batched-tokens
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- '4096'
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- --disable-log-requests
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- --disable-frontend-multiprocessing
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- --enforce-eager
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- --enable-auto-tool-choice
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- --tool-call-parser
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- qwen3_coder
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- --reasoning-parser
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- qwen3
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- --enable-prefix-caching
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- --enable-chunked-prefill
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- --dtype
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- half
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env:
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- name: VLLM_ENGINE_ITERATION_TIMEOUT_S
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value: '3600'
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- name: VLLM_ATTENTION_BACKEND
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value: XFORMERS
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- name: ENABLE_CUSTOM_IPC
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value: '1'
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- name: PYTHONPATH
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value: /usr/local/corex/lib/python3/dist-packages:/usr/local/corex/lib64/python3/dist-packages
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- name: LD_LIBRARY_PATH
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value: /usr/local/corex/lib64:/usr/local/openmpi/lib
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- name: VLLM_COREX_FA2_LIBRARY
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value: /usr/local/corex/lib64/libcorex_fa2.so
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- name: VLLM_COREX_GDN_LIBRARY
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value: /usr/local/corex/lib64/libcorex_gdn.so
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- name: VLLM_COREX_MOE_LIBRARY
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value: /usr/local/corex/lib64/libcorex_moe.so
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- name: VLLM_REQUEST_METRICS_FILE
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value: /tmp/vllm-request-metrics.jsonl
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- name: VLLM_CACHE_BLOCK_SIZE
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value: '16'
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