fix(critical): match Sub168 proven config — max_model_len=100K, max_num_seqs=1, gpu_mem=0.9
Root cause analysis of Sub508 (41.2% score): 1. max_model_len=256000 → 100000 (Sub168 value) - Reduces KV cache preallocation by 2.56x - d01: should drop from 95.87s to ~8-10s - Frees GPU memory for stable inference 2. max_num_seqs=2 → 1 - Eliminates t2_n_2 OOM crash that killed engine - Sub508 lost 23 tests + 881 replay to this single crash 3. gpu_memory_utilization=0.95 → 0.9 (matches Sub168 docker log) 4. serving_chat.py content fallback improved for d07
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@@ -8,14 +8,14 @@ command:
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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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- '100000'
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- --gpu-memory-utilization
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- '0.95'
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- '0.9'
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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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- '1'
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- --max-num-batched-tokens
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- '4096'
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- --disable-log-requests
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