Files
agentic-kvc/third_party/vllm/.buildkite/performance-benchmarks/tests/latency-tests-hpu.json
Gahow Wang 445e491123 Add vLLM v0.18.1 source tree with KV transfer abort fix
third_party/vllm/ now tracked in git for direct patch management.
Based on vLLM v0.18.1 release with one patch applied:

  vllm/v1/core/sched/scheduler.py:
    Replace fatal assert with graceful skip when KV transfer callback
    arrives for an already-aborted request during PD disaggregated serving.

Future vLLM modifications should be made directly in third_party/vllm/
and committed normally. The patches/ directory is kept as documentation
of what changed from upstream.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-05-22 00:30:38 +08:00

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[
{
"test_name": "latency_llama8B_tp1",
"environment_variables": {
"PT_HPU_LAZY_MODE": 1,
"VLLM_CONTIGUOUS_PA": 1,
"VLLM_DEFRAG": 1
},
"parameters": {
"model": "meta-llama/Meta-Llama-3.1-8B-Instruct",
"tensor_parallel_size": 1,
"load_format": "dummy",
"num-iters-warmup": 5,
"num-iters": 15,
"max-model-len": 256,
"async-scheduling": ""
}
},
{
"test_name": "latency_llama70B_tp4",
"environment_variables": {
"PT_HPU_LAZY_MODE": 1,
"PT_HPU_ENABLE_LAZY_COLLECTIVES": 1,
"VLLM_CONTIGUOUS_PA": 1,
"VLLM_DEFRAG": 1
},
"parameters": {
"model": "meta-llama/Meta-Llama-3.1-70B-Instruct",
"tensor_parallel_size": 4,
"load_format": "dummy",
"num-iters-warmup": 5,
"num-iters": 15,
"max-model-len": 256,
"async-scheduling": ""
}
},
{
"test_name": "latency_mixtral8x7B_tp2",
"environment_variables": {
"PT_HPU_LAZY_MODE": 1,
"PT_HPU_ENABLE_LAZY_COLLECTIVES": 1,
"VLLM_CONTIGUOUS_PA": 1,
"VLLM_DEFRAG": 1
},
"parameters": {
"model": "mistralai/Mixtral-8x7B-Instruct-v0.1",
"tensor_parallel_size": 2,
"load_format": "dummy",
"num-iters-warmup": 5,
"num-iters": 15,
"max-model-len": 256,
"async-scheduling": ""
}
},
{
"test_name": "latency_deepseek_r1",
"environment_variables": {
"PT_HPU_LAZY_MODE": 1,
"PT_HPU_ENABLE_LAZY_COLLECTIVES": 1,
"VLLM_CONTIGUOUS_PA": 1,
"VLLM_DEFRAG": 1
},
"parameters": {
"model": "deepseek-ai/DeepSeek-R1",
"tensor_parallel_size": 8,
"load_format": "dummy",
"max-model-len": 2048,
"dtype": "bfloat16"
}
},
{
"test_name": "latency_llama4_maverick_17b128e_instruct_fp8",
"environment_variables": {
"PT_HPU_LAZY_MODE": 1,
"PT_HPU_ENABLE_LAZY_COLLECTIVES": 1,
"VLLM_CONTIGUOUS_PA": 1,
"VLLM_DEFRAG": 1
},
"parameters": {
"model": "meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8",
"tensor_parallel_size": 8,
"max-model-len": 512,
"max-num-seqs": 128,
"async-scheduling": "",
"gpu-memory-utilization": 0.95,
"enable_expert_parallel": ""
}
},
{
"test_name": "latency_qwen3_8b",
"environment_variables": {
"PT_HPU_LAZY_MODE": 1,
"PT_HPU_ENABLE_LAZY_COLLECTIVES": 1,
"VLLM_CONTIGUOUS_PA": 1,
"VLLM_DEFRAG": 1
},
"parameters": {
"model": "Qwen/Qwen3-8B",
"tensor_parallel_size": 1,
"max-model-len": 2048,
"max-num-seqs": 128,
"dtype": "bfloat16",
"async-scheduling": ""
}
}
]