fix: max_num_seqs=2 for n=2 support + remove protocol n clamp
Sub168 (competitor) passes t2_n_2 with n=2 at 1.50s even with max_num_seqs likely >1. Our max_num_seqs=1 made n=2 crash. Changes: - computility-run.yaml: max-num-seqs 1→2 (200GB total VRAM sufficient) - protocol.py: remove n>1 clamp, let serving_chat scheduler guard handle it - serving_chat.py retains try/except guard for get_scheduler_config Risk: if 2 concurrent seqs OOM, service crashes. But concurrency=1 means only 1 request at a time, so n=2 just generates 2 answers sequentially. CCCL input: tuning_topk.cuh (bits_per_pass=11 for float32, threads=512), tuning_transform.cuh (cc_to_min_bytes_in_flight: B200=64KB, A100=16KB, BI-V100 should use 48-64KB based on per-SM BW=56GB/s)
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@@ -15,7 +15,7 @@ command:
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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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- --enforce-eager
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@@ -418,14 +418,8 @@ class ChatCompletionRequest(OpenAIBaseModel):
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if data.get("max_completion_tokens") is not None and data.get("max_tokens") is None:
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data["max_tokens"] = data["max_completion_tokens"]
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# Clamp n to 1 to prevent engine crash. Competition config uses
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# max_num_seqs=1; n>1 deadlocks the scheduler (break-not-continue bug)
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# or causes OOM, crashing the engine for ALL subsequent requests.
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# Sub508: t2_n_2 → HTTP 500 → 19 cascade failures.
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# t2_n_2 will FAIL (1 choice instead of 2) but prevents cascade.
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n_val = data.get("n")
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if n_val is not None and isinstance(n_val, int) and n_val > 1:
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data["n"] = 1
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# n > max_num_seqs: clamp handled in serving_chat.py via scheduler check.
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# With max_num_seqs=2, n=2 should work. n>2 will be clamped there.
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# Map thinking parameter → chat_template_kwargs.enable_thinking
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# OpenAI API format: thinking={"type":"enabled"} / {"type":"disabled"}
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