fix(critical): fold max_completion_tokens + max_num_seqs=2 + max_model_len=80000 + xllm_latest layer import
Sub 655 root causes (confirmed from log analysis): 1. protocol.py: max_completion_tokens never folded into max_tokens → 162/881 replay requests rejected 400 (extra_forbidden) 2. max_num_seqs=1 → t2_n_2 test fails (needs n=2) 3. max_model_len=131072 → OOM crash at 62% replay, opencompass all 0 Fixes: - protocol.py: model_validator fold_max_completion_tokens - yaml: max_num_seqs=2, max_model_len=80000, PYTORCH_CUDA_ALLOC_CONF - topk_softmax stays =0 (corex CUB BlockReduce incompatible on BI-V100) xllm_latest import to ex_engine/: - npu_torch layers: GDN(1164L), Qwen3.5 GDN, attention, fused_moe - cuda/moe kernels: topk_softmax_kernels.cuh, moe_combine, moe_compute_index - npu kernels: causal_conv1d, recurrent_gated_delta_rule - model headers: qwen3_5.h, qwen3_next.h
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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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- '131072'
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- '80000'
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- --gpu-memory-utilization
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- '0.90'
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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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- '1'
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- '2'
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- --disable-log-requests
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- --disable-frontend-multiprocessing
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- --max-num-batched-tokens
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@@ -47,3 +47,5 @@ env:
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value: hybrid64
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- name: BI100_MOE_COREX_TOPK_SOFTMAX
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value: '0'
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- name: PYTORCH_CUDA_ALLOC_CONF
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value: expandable_segments:True
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