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11 changes: 11 additions & 0 deletions tests/integration/defs/perf/pytorch_model_config.py
Original file line number Diff line number Diff line change
Expand Up @@ -324,6 +324,17 @@ def get_model_yaml_config(model_label: str,
},
}
},
# Qwen3.5-9B hybrid GDN: V2 KV/SSM pool split needs the real seq len.
{
'patterns': [
'qwen3.5_9b-bench-pytorch-bfloat16-maxbs:512-maxnt:2048-input_output_len:500,2000',
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],
'config': {
'kv_cache_config': {
'avg_seq_len': 2500,
},
}
},
# MiniMax-M3 MXFP8 block-sparse MoE: sparse backend, no KV reuse, trust_remote_code, capped max_seq_len to avoid the 1M-default CUDA-graph OOM.
{
'patterns': ['minimax_m3_mxfp8'],
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7 changes: 3 additions & 4 deletions tests/integration/test_lists/qa/llm_perf_core.yml
Original file line number Diff line number Diff line change
Expand Up @@ -106,6 +106,8 @@ llm_perf_core:
- perf/test_perf.py::test_perf[qwen3.5_35b_a3b_fp8-bench-pytorch-float8-maxbs:1-input_output_len:8000,1000-reqs:10-con:1] #min_latency
- perf/test_perf.py::test_perf[qwen3.5_35b_a3b_fp8-bench-pytorch-float8-maxbs:512-input_output_len:8000,1000-con:256] #max_throughput
#qwen3.5_122b_a10b (MoE BF16 234G, 4-GPU)
- perf/test_perf.py::test_perf[qwen3.5_122b_a10b-bench-pytorch-bfloat16-input_output_len:128,128-ep:4-tp:4-gpus:4]
- perf/test_perf.py::test_perf[qwen3.5_122b_a10b-bench-pytorch-bfloat16-input_output_len:500,2000-ep:4-tp:4-gpus:4]
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- perf/test_perf.py::test_perf[qwen3.5_122b_a10b-bench-pytorch-bfloat16-input_output_len:2000,500-ep:4-tp:4-gpus:4]
- perf/test_perf.py::test_perf[qwen3.5_122b_a10b-bench-pytorch-bfloat16-input_output_len:8000,1000-ep:4-tp:4-gpus:4]
- perf/test_perf.py::test_perf[qwen3.5_122b_a10b-bench-pytorch-bfloat16-input_output_len:1000,2000-ep:4-tp:4-gpus:4]
Expand Down Expand Up @@ -279,7 +281,6 @@ llm_perf_core:
- perf/test_perf.py::test_perf[minimax_m3_fp4-bench-pytorch-float4-maxbs:1-input_output_len:1024,1024-reqs:10-con:1-ep:8-tp:8-gpus:8] #min_latency
- perf/test_perf.py::test_perf[minimax_m3_fp4-bench-pytorch-float4-maxbs:256-maxnt:8192-input_output_len:1024,1024-con:256-ep:8-tp:8-gpus:8] TIMEOUT(120) #max_throughput
- perf/test_perf.py::test_perf[deepseek_r1_0528_fp4-bench-pytorch-float4-maxbs:384-maxnt:1536-input_output_len:1000,2000-reqs:10000-con:3072-ep:8-tp:8-gpus:8] TIMEOUT(120) #max throughput test
- perf/test_perf.py::test_perf[qwen3.5_397b_a17b_fp8-bench-pytorch-float8-input_output_len:1000,2000-ep:8-tp:8-gpus:8]


# 8: B300 test cases
Expand Down Expand Up @@ -311,6 +312,7 @@ llm_perf_core:
- perf/test_perf.py::test_perf[qwen3.5_397b_a17b_fp8-bench-pytorch-float8-input_output_len:500,2000-ep:8-tp:8-gpus:8]
- perf/test_perf.py::test_perf[qwen3.5_397b_a17b_fp8-bench-pytorch-float8-input_output_len:2000,500-ep:8-tp:8-gpus:8]
- perf/test_perf.py::test_perf[qwen3.5_397b_a17b_fp8-bench-pytorch-float8-input_output_len:8000,1000-ep:8-tp:8-gpus:8]
- perf/test_perf.py::test_perf[qwen3.5_397b_a17b_fp8-bench-pytorch-float8-input_output_len:1000,2000-ep:8-tp:8-gpus:8]
- perf/test_perf.py::test_perf[qwen3.5_397b_a17b_fp8-bench-pytorch-float8-maxbs:1-input_output_len:8000,1000-reqs:10-con:1-ep:8-tp:8-gpus:8] #min_latency
- perf/test_perf.py::test_perf[qwen3.5_397b_a17b_fp8-bench-pytorch-float8-maxbs:512-input_output_len:8000,1000-con:512-ep:8-tp:8-gpus:8] #max_throughput

Expand All @@ -326,9 +328,6 @@ llm_perf_core:
gpu_memory:
gt: 90000
tests:
#qwen3.5_122b_a10b (MoE BF16 234G, 4-GPU): OOM on 80G GPUs, needs >90G
- perf/test_perf.py::test_perf[qwen3.5_122b_a10b-bench-pytorch-bfloat16-input_output_len:128,128-ep:4-tp:4-gpus:4]
- perf/test_perf.py::test_perf[qwen3.5_122b_a10b-bench-pytorch-bfloat16-input_output_len:500,2000-ep:4-tp:4-gpus:4]
#qwen3.5_397b_a17b_fp4 (MoE FP4 234G, 8-GPU ep=8)
- perf/test_perf.py::test_perf[qwen3.5_397b_a17b_fp4-bench-pytorch-float4-input_output_len:128,128-ep:8-tp:8-gpus:8]
- perf/test_perf.py::test_perf[qwen3.5_397b_a17b_fp4-bench-pytorch-float4-input_output_len:500,2000-ep:8-tp:8-gpus:8]
Expand Down
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