5a05d4528cefbe35ca341f2bce873476c5f540f3
Sub 655 analysis: 634/881 connection errors (server crash during replay). Root cause: max-model-len=256000 + gpu-memory-utilization=0.95 + max-num-seqs=2 caused OOM on long-context requests (128K+ tokens). Changes: - max-model-len: 256000 → 131072 (enough for replay, prevents OOM) - gpu-memory-utilization: 0.95 → 0.90 (safety margin) - max-num-seqs: 2 → 1 (avoid concurrent long-context OOM) - max-num-batched-tokens: 4096 → 8192 (match proven config) - BI100_MOE_COREX_TOPK_SOFTMAX=0 (CUB kernel causes garbled output on BI-V100; PyTorch topk+softmax path is correct and fast enough) Expected impact: server stays alive through entire replay+opencompass run. Sub 655 successful requests had output_tps_avg=11.5 — the TPS is fine, we just need the server to not crash.
fix(build): whitelist .dockerignore — only send Dockerfile + computility-run.yaml + qwen3_6_scripts/
project_6
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