Update multi-machine distribution: move hle to gpu051
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@ -21,17 +21,20 @@ COMMON_ARGS="--model DeepSeek-V4-Flash-Int8 --api-url http://localhost:30000/v1
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# 分发方案:尽量让 3 台机器同时跑完
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# 估算:aime25/aime26 12 run,live_code_bench 5 run,其余 1 run
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# Machine 1: 推理/数学 multi-run(约 30h)
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M1_BENCHES="aime25,aime26,live_code_bench"
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M1_FOLDER="DP4-flash-int8-thinking-m1"
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# 注意:gpu051 已经在跑 official suite 的 aime25/aime26/live_code_bench,不要中断它。
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# 它跑完后继续跑 hle。
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# Machine 2: 知识与长上下文(约 18h)
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M2_BENCHES="hle,mmlu_pro,gpqa_diamond,longbench_v2"
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M2_FOLDER="DP4-flash-int8-thinking-m2"
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# Machine 1 (gpu048): SWE + Agent(约 30-50h,取决于 SWE 镜像)
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M1_BENCHES="swe_bench_verified,tau2_bench"
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M1_FOLDER="DP4-flash-int8-thinking-gpu048"
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# Machine 3: SWE + Agent(约 30-50h,取决于 SWE 镜像)
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M3_BENCHES="swe_bench_verified,tau2_bench"
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M3_FOLDER="DP4-flash-int8-thinking-m3"
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# Machine 2 (gpu049): 知识与长上下文(约 12-18h)
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M2_BENCHES="mmlu_pro,gpqa_diamond,longbench_v2"
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M2_FOLDER="DP4-flash-int8-thinking-gpu049"
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# Machine 3 (gpu051): 数学/代码 multi-run + hle(约 30h;hle 在 multi-run 跑完后启动)
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M3_BENCHES="aime25,aime26,live_code_bench,hle"
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M3_FOLDER="DP4-flash-int8-thinking-gpu051"
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run_on_machine() {
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local ip_base="$1"
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