Vllm CPU benchmark suite improvement (#34128)
Signed-off-by: louie-tsai <louie.tsai@intel.com>
This commit is contained in:
@@ -148,136 +148,6 @@
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"random-input-len": 2048,
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"random-output-len": 128
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}
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},
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{
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"test_name": "serving_llama8B_int4_tp1_random_128_128",
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"server_parameters": {
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"model": "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4",
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"tensor_parallel_size": 1
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},
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"client_parameters": {
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"model": "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4",
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"dataset_name": "random",
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"random-input-len": 128,
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"random-output-len": 128
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}
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},
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{
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"test_name": "serving_llama8B_int4_tp2_random_128_128",
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"server_parameters": {
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"model": "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4",
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"tensor_parallel_size": 2
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},
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"client_parameters": {
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"model": "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4",
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"dataset_name": "random",
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"random-input-len": 128,
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"random-output-len": 128
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}
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},
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{
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"test_name": "serving_llama8B_int4_tp4_random_128_128",
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"server_parameters": {
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"model": "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4",
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"tensor_parallel_size": 4
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},
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"client_parameters": {
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"model": "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4",
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"dataset_name": "random",
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"random-input-len": 128,
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"random-output-len": 128
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}
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},
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{
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"test_name": "serving_llama3B_tp1_random_128_128",
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"server_parameters": {
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"model": "meta-llama/Llama-3.2-3B-Instruct",
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"tensor_parallel_size": 1
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},
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"client_parameters": {
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"model": "meta-llama/Llama-3.2-3B-Instruct",
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"dataset_name": "random",
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"random-input-len": 128,
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"random-output-len": 128
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}
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},
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{
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"test_name": "serving_granite2B_tp1_random_128_128",
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"server_parameters": {
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"model": "ibm-granite/granite-3.2-2b-instruct",
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"tensor_parallel_size": 1
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},
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"client_parameters": {
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"model": "ibm-granite/granite-3.2-2b-instruct",
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"dataset_name": "random",
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"random-input-len": 128,
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"random-output-len": 128
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}
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},
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{
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"test_name": "serving_qwen1.7B_tp1_random_128_128",
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"server_parameters": {
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"model": "Qwen/Qwen3-1.7B",
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"tensor_parallel_size": 1
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},
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"client_parameters": {
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"model": "Qwen/Qwen3-1.7B",
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"dataset_name": "random",
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"random-input-len": 128,
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"random-output-len": 128
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}
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},
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{
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"test_name": "serving_qwen4B_tp1_random_128_128",
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"server_parameters": {
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"model": "Qwen/Qwen3-4B",
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"tensor_parallel_size": 1
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},
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"client_parameters": {
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"model": "Qwen/Qwen3-4B",
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"dataset_name": "random",
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"random-input-len": 128,
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"random-output-len": 128
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}
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},
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{
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"test_name": "serving_qwen8B_tp1_random_128_128",
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"server_parameters": {
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"model": "Qwen/Qwen3-8B",
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"tensor_parallel_size": 1
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},
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"client_parameters": {
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"model": "Qwen/Qwen3-8B",
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"dataset_name": "random",
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"random-input-len": 128,
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"random-output-len": 128
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}
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},
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{
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"test_name": "serving_glm9B_tp1_random_128_128",
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"server_parameters": {
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"model": "zai-org/glm-4-9b-hf",
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"tensor_parallel_size": 1
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},
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"client_parameters": {
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"model": "zai-org/glm-4-9b-hf",
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"dataset_name": "random",
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"random-input-len": 128,
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"random-output-len": 128
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}
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},
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{
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"test_name": "serving_gemma7B_tp1_random_128_128",
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"server_parameters": {
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"model": "google/gemma-7b",
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"tensor_parallel_size": 1
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},
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"client_parameters": {
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"model": "google/gemma-7b",
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"dataset_name": "random",
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"random-input-len": 128,
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"random-output-len": 128
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}
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}
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]
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}
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