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6 changes: 5 additions & 1 deletion tests/integration/test_lists/qa/llm_perf_core.yml
Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,7 @@ llm_perf_core:
supports_fp8: true
ranges:
system_gpu_count:
gte: 2
gte: 4
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tests:
- perf/test_perf.py::test_perf[llama_v3.1_8b_instruct_fp8-bench-pytorch-float8-input_output_len:128,128]
- perf/test_perf.py::test_perf[qwen3.5_9b-bench-pytorch-bfloat16-input_output_len:128,128]
Expand All @@ -36,6 +36,10 @@ llm_perf_core:
- perf/test_perf.py::test_perf[llama_v3.1_nemotron_nano_8b_fp8-bench-pytorch-float8-maxnt:5000-input_output_len:5000,500-reqs:8-con:1]
- perf/test_perf.py::test_perf[llama_v3.1_nemotron_nano_8b_fp8-bench-pytorch-float8-input_output_len:500,2000-reqs:8-con:1]
- perf/test_perf.py::test_perf[llama_v3.1_nemotron_nano_8b_fp8-bench-pytorch-float8-input_output_len:1000,1000-reqs:8-con:1]
# test overlap scheduler
# con:1 paired with a small model is an intentional design choice—it amplifies host-side overhead and simplifies execution timelines to the maximum extent.
- perf/test_perf.py::test_perf[qwen3_0.6b-bench-pytorch-bfloat16-maxnt:2048-input_output_len:8000,1000-reqs:256-con:1-pp:4-gpus:4]
- perf/test_perf.py::test_perf[qwen3_30b_a3b-bench-pytorch-bfloat16-maxnt:2048-input_output_len:8000,1000-reqs:256-con:1-pp:4-gpus:4]


# 2: L40S, H100, H20, H200
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