mirror of
https://git.datalinker.icu/vllm-project/vllm.git
synced 2026-05-26 06:44:26 +08:00
Adding int4 and int8 models for CPU benchmarking (#23709)
Signed-off-by: Tsai, Louie <louie.tsai@intel.com>
This commit is contained in:
Louie Tsai
GitHub
parent
e599e2c65e
commit
006e7a34ae
@ -1,6 +1,6 @@
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[
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[
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{
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{
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"test_name": "serving_llama8B_tp1_sharegpt",
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"test_name": "serving_llama8B_bf16_tp1_sharegpt",
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"qps_list": ["inf"],
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"qps_list": ["inf"],
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"server_environment_variables": {
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"server_environment_variables": {
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@ -32,7 +32,7 @@
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}
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}
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},
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},
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{
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{
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"test_name": "serving_llama8B_tp2_sharegpt",
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"test_name": "serving_llama8B_bf16_tp2_sharegpt",
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"qps_list": ["inf"],
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"qps_list": ["inf"],
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"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200],
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"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200],
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"server_environment_variables": {
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"server_environment_variables": {
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@ -64,7 +64,7 @@
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}
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}
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},
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},
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{
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{
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"test_name": "serving_llama8B_tp4_sharegpt",
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"test_name": "serving_llama8B_bf16_tp4_sharegpt",
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"qps_list": ["inf"],
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"qps_list": ["inf"],
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"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200],
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"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200],
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"server_environment_variables": {
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"server_environment_variables": {
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@ -96,7 +96,7 @@
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}
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}
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},
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},
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{
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{
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"test_name": "serving_llama8B_tp1_random_128_128",
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"test_name": "serving_llama8B_bf16_tp1_random_128_128",
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"qps_list": ["inf"],
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"qps_list": ["inf"],
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"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200, 1000],
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"server_environment_variables": {
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"server_environment_variables": {
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@ -131,7 +131,7 @@
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}
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}
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},
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},
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{
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{
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"test_name": "serving_llama8B_tp2_random_128_128",
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"test_name": "serving_llama8B_bf16_tp2_random_128_128",
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"qps_list": ["inf"],
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"qps_list": ["inf"],
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"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200, 1000],
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"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200, 1000],
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"server_environment_variables": {
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"server_environment_variables": {
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@ -166,7 +166,7 @@
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}
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}
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},
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},
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{
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{
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"test_name": "serving_llama8B_tp4_random_128_128",
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"test_name": "serving_llama8B_bf16_tp4_random_128_128",
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"qps_list": ["inf"],
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"qps_list": ["inf"],
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"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200, 1000],
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"server_environment_variables": {
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"server_environment_variables": {
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@ -198,5 +198,413 @@
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"random-output-len": 128,
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"random-output-len": 128,
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"num_prompts": 1000
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"num_prompts": 1000
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}
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}
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},
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{
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"test_name": "serving_llama8B_int8_tp1_sharegpt",
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"qps_list": ["inf"],
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"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200],
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"server_environment_variables": {
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"VLLM_RPC_TIMEOUT": 100000,
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"VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
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"VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
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"VLLM_CPU_SGL_KERNEL": 1,
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"VLLM_CPU_KVCACHE_SPACE": 40
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},
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"server_parameters": {
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"model": "RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a8",
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"tensor_parallel_size": 1,
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"dtype": "bfloat16",
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"distributed_executor_backend": "mp",
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"block_size": 128,
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"trust_remote_code": "",
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"load_format": "dummy"
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},
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"client_parameters": {
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"model": "RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a8",
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"backend": "vllm",
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"dataset_name": "sharegpt",
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"dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json",
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"num_prompts": 200
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}
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},
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{
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"test_name": "serving_llama8B_int8_tp2_sharegpt",
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"qps_list": ["inf"],
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"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200],
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"server_environment_variables": {
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"VLLM_RPC_TIMEOUT": 100000,
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"VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
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"VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
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"VLLM_CPU_SGL_KERNEL": 1,
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"VLLM_CPU_KVCACHE_SPACE": 40
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},
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"server_parameters": {
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"model": "RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a8",
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"tensor_parallel_size": 2,
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"dtype": "bfloat16",
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"distributed_executor_backend": "mp",
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"block_size": 128,
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"trust_remote_code": "",
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"disable_log_stats": "",
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"enforce_eager": "",
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"max_num_batched_tokens": 2048,
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"max_num_seqs": 256,
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"load_format": "dummy"
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},
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"client_parameters": {
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"model": "RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a8",
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"backend": "vllm",
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"dataset_name": "sharegpt",
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"dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json",
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"num_prompts": 200
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}
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},
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{
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"test_name": "serving_llama8B_int8_tp4_sharegpt",
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"qps_list": ["inf"],
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"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200],
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"server_environment_variables": {
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"VLLM_RPC_TIMEOUT": 100000,
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"VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
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"VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
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"VLLM_CPU_SGL_KERNEL": 1,
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"VLLM_CPU_KVCACHE_SPACE": 40
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},
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"server_parameters": {
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"model": "RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a8",
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"tensor_parallel_size": 4,
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"dtype": "bfloat16",
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"distributed_executor_backend": "mp",
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"block_size": 128,
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"trust_remote_code": "",
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"disable_log_stats": "",
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"enforce_eager": "",
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"max_num_batched_tokens": 2048,
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"max_num_seqs": 256,
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"load_format": "dummy"
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},
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"client_parameters": {
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"model": "RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a8",
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"backend": "vllm",
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"dataset_name": "sharegpt",
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"dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json",
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"num_prompts": 200
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}
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},
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{
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"test_name": "serving_llama8B_int8_tp1_random_128_128",
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"qps_list": ["inf"],
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"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200, 1000],
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"server_environment_variables": {
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"VLLM_RPC_TIMEOUT": 100000,
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"VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
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"VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
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"VLLM_CPU_SGL_KERNEL": 1,
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"VLLM_CPU_KVCACHE_SPACE": 40
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},
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"server_parameters": {
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"model": "RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a8",
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"tensor_parallel_size": 1,
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"dtype": "bfloat16",
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"distributed_executor_backend": "mp",
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"block_size": 128,
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"trust_remote_code": "",
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"enable_chunked_prefill": "",
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"disable_log_stats": "",
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"enforce_eager": "",
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"max_num_batched_tokens": 2048,
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"max_num_seqs": 256,
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"load_format": "dummy"
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},
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"client_parameters": {
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"model": "RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a8",
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"backend": "vllm",
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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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"ignore-eos": "",
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"num_prompts": 1000
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}
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},
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{
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"test_name": "serving_llama8B_int8_tp2_random_128_128",
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"qps_list": ["inf"],
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"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200, 1000],
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"server_environment_variables": {
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"VLLM_RPC_TIMEOUT": 100000,
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"VLLM_CPU_KVCACHE_SPACE": 40
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},
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"server_parameters": {
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"model": "RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a8",
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"tensor_parallel_size": 2,
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"dtype": "bfloat16",
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"distributed_executor_backend": "mp",
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"block_size": 128,
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"trust_remote_code": "",
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"enable_chunked_prefill": "",
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"disable_log_stats": "",
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"enforce_eager": "",
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"max_num_batched_tokens": 2048,
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"max_num_seqs": 256,
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"load_format": "dummy"
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},
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"client_parameters": {
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"model": "RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a8",
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"backend": "vllm",
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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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"ignore-eos": "",
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"num_prompts": 1000
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}
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},
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{
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"test_name": "serving_llama8B_int8_tp4_random_128_128",
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"qps_list": ["inf"],
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"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200, 1000],
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"server_environment_variables": {
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"VLLM_RPC_TIMEOUT": 100000,
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"VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
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"VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
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"VLLM_CPU_SGL_KERNEL": 1,
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"VLLM_CPU_KVCACHE_SPACE": 40
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},
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"server_parameters": {
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"model": "RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a8",
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"tensor_parallel_size": 4,
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"dtype": "bfloat16",
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"distributed_executor_backend": "mp",
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"block_size": 128,
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"trust_remote_code": "",
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"enable_chunked_prefill": "",
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"enforce_eager": "",
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"max_num_batched_tokens": 2048,
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"load_format": "dummy"
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},
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"client_parameters": {
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"model": "RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a8",
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"backend": "vllm",
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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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"ignore-eos": "",
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"num_prompts": 1000
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}
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},
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{
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"test_name": "serving_llama8B_int4_tp1_sharegpt",
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"qps_list": ["inf"],
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"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200],
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"server_environment_variables": {
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"VLLM_CPU_SGL_KERNEL": 1,
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"VLLM_CPU_KVCACHE_SPACE": 40
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},
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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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"quantization": "awq",
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"tensor_parallel_size": 1,
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"dtype": "bfloat16",
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"distributed_executor_backend": "mp",
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"block_size": 128,
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"trust_remote_code": "",
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"disable_log_stats": "",
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"enforce_eager": "",
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"max_num_batched_tokens": 2048,
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"max_num_seqs": 256,
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"load_format": "dummy"
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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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"backend": "vllm",
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"dataset_name": "sharegpt",
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"dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json",
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"num_prompts": 200
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}
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},
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{
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"test_name": "serving_llama8B_int4_tp2_sharegpt",
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"qps_list": ["inf"],
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"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200],
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"server_environment_variables": {
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"VLLM_RPC_TIMEOUT": 100000,
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"VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
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"VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
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"VLLM_CPU_SGL_KERNEL": 1,
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"VLLM_CPU_KVCACHE_SPACE": 40
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},
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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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"quantization": "awq",
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"tensor_parallel_size": 2,
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"dtype": "bfloat16",
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"distributed_executor_backend": "mp",
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"block_size": 128,
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"trust_remote_code": "",
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"disable_log_stats": "",
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"enforce_eager": "",
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"max_num_batched_tokens": 2048,
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"max_num_seqs": 256,
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"load_format": "dummy"
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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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"backend": "vllm",
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"dataset_name": "sharegpt",
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"dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json",
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"num_prompts": 200
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}
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||||||
|
},
|
||||||
|
{
|
||||||
|
"test_name": "serving_llama8B_int4_tp4_sharegpt",
|
||||||
|
"qps_list": ["inf"],
|
||||||
|
"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200],
|
||||||
|
"server_environment_variables": {
|
||||||
|
"VLLM_RPC_TIMEOUT": 100000,
|
||||||
|
"VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
|
||||||
|
"VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
|
||||||
|
"VLLM_CPU_SGL_KERNEL": 1,
|
||||||
|
"VLLM_CPU_KVCACHE_SPACE": 40
|
||||||
|
},
|
||||||
|
"server_parameters": {
|
||||||
|
"model": "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4",
|
||||||
|
"quantization": "awq",
|
||||||
|
"tensor_parallel_size": 4,
|
||||||
|
"dtype": "bfloat16",
|
||||||
|
"distributed_executor_backend": "mp",
|
||||||
|
"block_size": 128,
|
||||||
|
"trust_remote_code": "",
|
||||||
|
"disable_log_stats": "",
|
||||||
|
"enforce_eager": "",
|
||||||
|
"max_num_batched_tokens": 2048,
|
||||||
|
"max_num_seqs": 256,
|
||||||
|
"load_format": "dummy"
|
||||||
|
},
|
||||||
|
"client_parameters": {
|
||||||
|
"model": "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4",
|
||||||
|
"backend": "vllm",
|
||||||
|
"dataset_name": "sharegpt",
|
||||||
|
"dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json",
|
||||||
|
"num_prompts": 200
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"test_name": "serving_llama8B_int4_tp1_random_128_128",
|
||||||
|
"qps_list": ["inf"],
|
||||||
|
"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200, 1000],
|
||||||
|
"server_environment_variables": {
|
||||||
|
"VLLM_RPC_TIMEOUT": 100000,
|
||||||
|
"VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
|
||||||
|
"VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
|
||||||
|
"VLLM_CPU_SGL_KERNEL": 1,
|
||||||
|
"VLLM_CPU_KVCACHE_SPACE": 40
|
||||||
|
},
|
||||||
|
"server_parameters": {
|
||||||
|
"model": "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4",
|
||||||
|
"quantization": "awq",
|
||||||
|
"tensor_parallel_size": 1,
|
||||||
|
"dtype": "bfloat16",
|
||||||
|
"distributed_executor_backend": "mp",
|
||||||
|
"block_size": 128,
|
||||||
|
"trust_remote_code": "",
|
||||||
|
"enable_chunked_prefill": "",
|
||||||
|
"disable_log_stats": "",
|
||||||
|
"enforce_eager": "",
|
||||||
|
"max_num_batched_tokens": 2048,
|
||||||
|
"max_num_seqs": 256,
|
||||||
|
"load_format": "dummy"
|
||||||
|
},
|
||||||
|
"client_parameters": {
|
||||||
|
"model": "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4",
|
||||||
|
"backend": "vllm",
|
||||||
|
"dataset_name": "random",
|
||||||
|
"random-input-len": 128,
|
||||||
|
"random-output-len": 128,
|
||||||
|
"ignore-eos": "",
|
||||||
|
"num_prompts": 1000
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"test_name": "serving_llama8B_int4_tp2_random_128_128",
|
||||||
|
"qps_list": ["inf"],
|
||||||
|
"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200, 1000],
|
||||||
|
"server_environment_variables": {
|
||||||
|
"VLLM_RPC_TIMEOUT": 100000,
|
||||||
|
"VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
|
||||||
|
"VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
|
||||||
|
"VLLM_CPU_SGL_KERNEL": 1,
|
||||||
|
"VLLM_CPU_KVCACHE_SPACE": 40
|
||||||
|
},
|
||||||
|
"server_parameters": {
|
||||||
|
"model": "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4",
|
||||||
|
"quantization": "awq",
|
||||||
|
"tensor_parallel_size": 2,
|
||||||
|
"dtype": "bfloat16",
|
||||||
|
"distributed_executor_backend": "mp",
|
||||||
|
"block_size": 128,
|
||||||
|
"trust_remote_code": "",
|
||||||
|
"enable_chunked_prefill": "",
|
||||||
|
"disable_log_stats": "",
|
||||||
|
"enforce_eager": "",
|
||||||
|
"max_num_batched_tokens": 2048,
|
||||||
|
"max_num_seqs": 256,
|
||||||
|
"load_format": "dummy"
|
||||||
|
},
|
||||||
|
"client_parameters": {
|
||||||
|
"model": "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4",
|
||||||
|
"backend": "vllm",
|
||||||
|
"dataset_name": "random",
|
||||||
|
"random-input-len": 128,
|
||||||
|
"random-output-len": 128,
|
||||||
|
"ignore-eos": "",
|
||||||
|
"num_prompts": 1000
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"test_name": "serving_llama8B_int4_tp4_random_128_128",
|
||||||
|
"qps_list": ["inf"],
|
||||||
|
"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200, 1000],
|
||||||
|
"server_environment_variables": {
|
||||||
|
"VLLM_RPC_TIMEOUT": 100000,
|
||||||
|
"VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
|
||||||
|
"VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
|
||||||
|
"VLLM_CPU_SGL_KERNEL": 1,
|
||||||
|
"VLLM_CPU_KVCACHE_SPACE": 40
|
||||||
|
},
|
||||||
|
"server_parameters": {
|
||||||
|
"model": "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4",
|
||||||
|
"quantization": "awq",
|
||||||
|
"tensor_parallel_size": 4,
|
||||||
|
"dtype": "bfloat16",
|
||||||
|
"distributed_executor_backend": "mp",
|
||||||
|
"block_size": 128,
|
||||||
|
"trust_remote_code": "",
|
||||||
|
"enable_chunked_prefill": "",
|
||||||
|
"disable_log_stats": "",
|
||||||
|
"enforce_eager": "",
|
||||||
|
"max_num_batched_tokens": 2048,
|
||||||
|
"max_num_seqs": 256,
|
||||||
|
"load_format": "dummy"
|
||||||
|
},
|
||||||
|
"client_parameters": {
|
||||||
|
"model": "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4",
|
||||||
|
"backend": "vllm",
|
||||||
|
"dataset_name": "random",
|
||||||
|
"random-input-len": 128,
|
||||||
|
"random-output-len": 128,
|
||||||
|
"ignore-eos": "",
|
||||||
|
"num_prompts": 1000
|
||||||
|
}
|
||||||
}
|
}
|
||||||
]
|
]
|
||||||
|
|||||||
@ -1,6 +1,6 @@
|
|||||||
[
|
[
|
||||||
{
|
{
|
||||||
"test_name": "serving_llama8B_pp1_sharegpt",
|
"test_name": "serving_llama8B_bf16_pp1_sharegpt",
|
||||||
"qps_list": ["inf"],
|
"qps_list": ["inf"],
|
||||||
"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200],
|
"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200],
|
||||||
"server_environment_variables": {
|
"server_environment_variables": {
|
||||||
@ -32,7 +32,39 @@
|
|||||||
}
|
}
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"test_name": "serving_llama8B_pp3_sharegpt",
|
"test_name": "serving_llama8B_bf16_tp2_sharegpt",
|
||||||
|
"qps_list": ["inf"],
|
||||||
|
"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200],
|
||||||
|
"server_environment_variables": {
|
||||||
|
"VLLM_RPC_TIMEOUT": 100000,
|
||||||
|
"VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
|
||||||
|
"VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
|
||||||
|
"VLLM_CPU_SGL_KERNEL": 1,
|
||||||
|
"VLLM_CPU_KVCACHE_SPACE": 40
|
||||||
|
},
|
||||||
|
"server_parameters": {
|
||||||
|
"model": "meta-llama/Llama-3.1-8B-Instruct",
|
||||||
|
"tensor_parallel_size": 2,
|
||||||
|
"dtype": "bfloat16",
|
||||||
|
"distributed_executor_backend": "mp",
|
||||||
|
"block_size": 128,
|
||||||
|
"trust_remote_code": "",
|
||||||
|
"disable_log_stats": "",
|
||||||
|
"enforce_eager": "",
|
||||||
|
"max_num_batched_tokens": 2048,
|
||||||
|
"max_num_seqs": 256,
|
||||||
|
"load_format": "dummy"
|
||||||
|
},
|
||||||
|
"client_parameters": {
|
||||||
|
"model": "meta-llama/Llama-3.1-8B-Instruct",
|
||||||
|
"backend": "vllm",
|
||||||
|
"dataset_name": "sharegpt",
|
||||||
|
"dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json",
|
||||||
|
"num_prompts": 200
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"test_name": "serving_llama8B_bf16_pp3_sharegpt",
|
||||||
"qps_list": ["inf"],
|
"qps_list": ["inf"],
|
||||||
"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200],
|
"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200],
|
||||||
"server_environment_variables": {
|
"server_environment_variables": {
|
||||||
@ -64,7 +96,7 @@
|
|||||||
}
|
}
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"test_name": "serving_llama8B_tp2pp3_sharegpt",
|
"test_name": "serving_llama8B_bf16_tp2pp3_sharegpt",
|
||||||
"qps_list": ["inf"],
|
"qps_list": ["inf"],
|
||||||
"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200],
|
"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200],
|
||||||
"server_environment_variables": {
|
"server_environment_variables": {
|
||||||
@ -97,7 +129,7 @@
|
|||||||
}
|
}
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"test_name": "serving_llama8B_pp1_random_128_128",
|
"test_name": "serving_llama8B_bf16_pp1_random_128_128",
|
||||||
"qps_list": ["inf"],
|
"qps_list": ["inf"],
|
||||||
"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200, 1000],
|
"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200, 1000],
|
||||||
"server_environment_variables": {
|
"server_environment_variables": {
|
||||||
@ -132,7 +164,42 @@
|
|||||||
}
|
}
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"test_name": "serving_llama8B_pp3_random_128_128",
|
"test_name": "serving_llama8B_bf16_tp2_random_128_128",
|
||||||
|
"qps_list": ["inf"],
|
||||||
|
"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200, 1000],
|
||||||
|
"server_environment_variables": {
|
||||||
|
"VLLM_RPC_TIMEOUT": 100000,
|
||||||
|
"VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
|
||||||
|
"VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
|
||||||
|
"VLLM_CPU_SGL_KERNEL": 1,
|
||||||
|
"VLLM_CPU_KVCACHE_SPACE": 40
|
||||||
|
},
|
||||||
|
"server_parameters": {
|
||||||
|
"model": "meta-llama/Llama-3.1-8B-Instruct",
|
||||||
|
"tensor_parallel_size": 2,
|
||||||
|
"dtype": "bfloat16",
|
||||||
|
"distributed_executor_backend": "mp",
|
||||||
|
"block_size": 128,
|
||||||
|
"trust_remote_code": "",
|
||||||
|
"enable_chunked_prefill": "",
|
||||||
|
"disable_log_stats": "",
|
||||||
|
"enforce_eager": "",
|
||||||
|
"max_num_batched_tokens": 2048,
|
||||||
|
"max_num_seqs": 256,
|
||||||
|
"load_format": "dummy"
|
||||||
|
},
|
||||||
|
"client_parameters": {
|
||||||
|
"model": "meta-llama/Llama-3.1-8B-Instruct",
|
||||||
|
"backend": "vllm",
|
||||||
|
"dataset_name": "random",
|
||||||
|
"random-input-len": 128,
|
||||||
|
"random-output-len": 128,
|
||||||
|
"ignore-eos": "",
|
||||||
|
"num_prompts": 1000
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"test_name": "serving_llama8B_bf16_pp3_random_128_128",
|
||||||
"qps_list": ["inf"],
|
"qps_list": ["inf"],
|
||||||
"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200, 1000],
|
"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200, 1000],
|
||||||
"server_environment_variables": {
|
"server_environment_variables": {
|
||||||
@ -167,7 +234,7 @@
|
|||||||
}
|
}
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"test_name": "serving_llama8B_tp2pp3_random_128_128",
|
"test_name": "serving_llama8B_bf16_tp2pp3_random_128_128",
|
||||||
"qps_list": ["inf"],
|
"qps_list": ["inf"],
|
||||||
"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200, 1000],
|
"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200, 1000],
|
||||||
"server_environment_variables": {
|
"server_environment_variables": {
|
||||||
@ -201,5 +268,553 @@
|
|||||||
"ignore-eos": "",
|
"ignore-eos": "",
|
||||||
"num_prompts": 1000
|
"num_prompts": 1000
|
||||||
}
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"test_name": "serving_llama8B_int8_pp1_sharegpt",
|
||||||
|
"qps_list": ["inf"],
|
||||||
|
"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200],
|
||||||
|
"server_environment_variables": {
|
||||||
|
"VLLM_RPC_TIMEOUT": 100000,
|
||||||
|
"VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
|
||||||
|
"VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
|
||||||
|
"VLLM_CPU_SGL_KERNEL": 1,
|
||||||
|
"VLLM_CPU_KVCACHE_SPACE": 40
|
||||||
|
},
|
||||||
|
"server_parameters": {
|
||||||
|
"model": "RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a8",
|
||||||
|
"pipeline_parallel_size": 1,
|
||||||
|
"dtype": "bfloat16",
|
||||||
|
"distributed_executor_backend": "mp",
|
||||||
|
"block_size": 128,
|
||||||
|
"trust_remote_code": "",
|
||||||
|
"disable_log_stats": "",
|
||||||
|
"enforce_eager": "",
|
||||||
|
"max_num_batched_tokens": 2048,
|
||||||
|
"max_num_seqs": 256,
|
||||||
|
"load_format": "dummy"
|
||||||
|
},
|
||||||
|
"client_parameters": {
|
||||||
|
"model": "RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a8",
|
||||||
|
"backend": "vllm",
|
||||||
|
"dataset_name": "sharegpt",
|
||||||
|
"dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json",
|
||||||
|
"num_prompts": 200
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"test_name": "serving_llama8B_int8_tp2_sharegpt",
|
||||||
|
"qps_list": ["inf"],
|
||||||
|
"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200],
|
||||||
|
"server_environment_variables": {
|
||||||
|
"VLLM_RPC_TIMEOUT": 100000,
|
||||||
|
"VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
|
||||||
|
"VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
|
||||||
|
"VLLM_CPU_SGL_KERNEL": 1,
|
||||||
|
"VLLM_CPU_KVCACHE_SPACE": 40
|
||||||
|
},
|
||||||
|
"server_parameters": {
|
||||||
|
"model": "RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a8",
|
||||||
|
"tensor_parallel_size": 2,
|
||||||
|
"dtype": "bfloat16",
|
||||||
|
"distributed_executor_backend": "mp",
|
||||||
|
"block_size": 128,
|
||||||
|
"trust_remote_code": "",
|
||||||
|
"disable_log_stats": "",
|
||||||
|
"enforce_eager": "",
|
||||||
|
"max_num_batched_tokens": 2048,
|
||||||
|
"max_num_seqs": 256,
|
||||||
|
"load_format": "dummy"
|
||||||
|
},
|
||||||
|
"client_parameters": {
|
||||||
|
"model": "RedHatAI/Meta-Llama-3.1-8B-Instruct-quantized.w8a8",
|
||||||
|
"backend": "vllm",
|
||||||
|
"dataset_name": "sharegpt",
|
||||||
|
"dataset_path": "./ShareGPT_V3_unfiltered_cleaned_split.json",
|
||||||
|
"num_prompts": 200
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
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"test_name": "serving_llama8B_int4_pp1_random_128_128",
|
||||||
|
"qps_list": ["inf"],
|
||||||
|
"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200, 1000],
|
||||||
|
"server_environment_variables": {
|
||||||
|
"VLLM_RPC_TIMEOUT": 100000,
|
||||||
|
"VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
|
||||||
|
"VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
|
||||||
|
"VLLM_CPU_SGL_KERNEL": 1,
|
||||||
|
"VLLM_CPU_KVCACHE_SPACE": 40
|
||||||
|
},
|
||||||
|
"server_parameters": {
|
||||||
|
"model": "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4",
|
||||||
|
"quantization": "awq",
|
||||||
|
"pipeline_parallel_size": 1,
|
||||||
|
"dtype": "bfloat16",
|
||||||
|
"distributed_executor_backend": "mp",
|
||||||
|
"block_size": 128,
|
||||||
|
"trust_remote_code": "",
|
||||||
|
"enable_chunked_prefill": "",
|
||||||
|
"disable_log_stats": "",
|
||||||
|
"enforce_eager": "",
|
||||||
|
"max_num_batched_tokens": 2048,
|
||||||
|
"max_num_seqs": 256,
|
||||||
|
"load_format": "dummy"
|
||||||
|
},
|
||||||
|
"client_parameters": {
|
||||||
|
"model": "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4",
|
||||||
|
"backend": "vllm",
|
||||||
|
"dataset_name": "random",
|
||||||
|
"random-input-len": 128,
|
||||||
|
"random-output-len": 128,
|
||||||
|
"ignore-eos": "",
|
||||||
|
"num_prompts": 1000
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"test_name": "serving_llama8B_int4_tp2_random_128_128",
|
||||||
|
"qps_list": ["inf"],
|
||||||
|
"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200, 1000],
|
||||||
|
"server_environment_variables": {
|
||||||
|
"VLLM_RPC_TIMEOUT": 100000,
|
||||||
|
"VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
|
||||||
|
"VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
|
||||||
|
"VLLM_CPU_SGL_KERNEL": 1,
|
||||||
|
"VLLM_CPU_KVCACHE_SPACE": 40
|
||||||
|
},
|
||||||
|
"server_parameters": {
|
||||||
|
"model": "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4",
|
||||||
|
"quantization": "awq",
|
||||||
|
"tensor_parallel_size": 2,
|
||||||
|
"dtype": "bfloat16",
|
||||||
|
"distributed_executor_backend": "mp",
|
||||||
|
"block_size": 128,
|
||||||
|
"trust_remote_code": "",
|
||||||
|
"enable_chunked_prefill": "",
|
||||||
|
"disable_log_stats": "",
|
||||||
|
"enforce_eager": "",
|
||||||
|
"max_num_batched_tokens": 2048,
|
||||||
|
"max_num_seqs": 256,
|
||||||
|
"load_format": "dummy"
|
||||||
|
},
|
||||||
|
"client_parameters": {
|
||||||
|
"model": "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4",
|
||||||
|
"backend": "vllm",
|
||||||
|
"dataset_name": "random",
|
||||||
|
"random-input-len": 128,
|
||||||
|
"random-output-len": 128,
|
||||||
|
"ignore-eos": "",
|
||||||
|
"num_prompts": 1000
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"test_name": "serving_llama8B_int4_pp3_random_128_128",
|
||||||
|
"qps_list": ["inf"],
|
||||||
|
"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200, 1000],
|
||||||
|
"server_environment_variables": {
|
||||||
|
"VLLM_RPC_TIMEOUT": 100000,
|
||||||
|
"VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
|
||||||
|
"VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
|
||||||
|
"VLLM_CPU_SGL_KERNEL": 1,
|
||||||
|
"VLLM_CPU_KVCACHE_SPACE": 40
|
||||||
|
},
|
||||||
|
"server_parameters": {
|
||||||
|
"model": "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4",
|
||||||
|
"quantization": "awq",
|
||||||
|
"pipeline_parallel_size": 3,
|
||||||
|
"dtype": "bfloat16",
|
||||||
|
"distributed_executor_backend": "mp",
|
||||||
|
"block_size": 128,
|
||||||
|
"trust_remote_code": "",
|
||||||
|
"enable_chunked_prefill": "",
|
||||||
|
"disable_log_stats": "",
|
||||||
|
"enforce_eager": "",
|
||||||
|
"max_num_batched_tokens": 2048,
|
||||||
|
"max_num_seqs": 256,
|
||||||
|
"load_format": "dummy"
|
||||||
|
},
|
||||||
|
"client_parameters": {
|
||||||
|
"model": "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4",
|
||||||
|
"backend": "vllm",
|
||||||
|
"dataset_name": "random",
|
||||||
|
"random-input-len": 128,
|
||||||
|
"random-output-len": 128,
|
||||||
|
"ignore-eos": "",
|
||||||
|
"num_prompts": 1000
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"test_name": "serving_llama8B_int4_tp2pp3_random_128_128",
|
||||||
|
"qps_list": ["inf"],
|
||||||
|
"max_concurrency_list": [12, 16, 24, 32, 64, 128, 200, 1000],
|
||||||
|
"server_environment_variables": {
|
||||||
|
"VLLM_RPC_TIMEOUT": 100000,
|
||||||
|
"VLLM_ALLOW_LONG_MAX_MODEL_LEN": 1,
|
||||||
|
"VLLM_ENGINE_ITERATION_TIMEOUT_S": 120,
|
||||||
|
"VLLM_CPU_SGL_KERNEL": 1,
|
||||||
|
"VLLM_CPU_KVCACHE_SPACE": 40
|
||||||
|
},
|
||||||
|
"server_parameters": {
|
||||||
|
"model": "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4",
|
||||||
|
"quantization": "awq",
|
||||||
|
"tensor_parallel_size": 2,
|
||||||
|
"pipeline_parallel_size": 3,
|
||||||
|
"dtype": "bfloat16",
|
||||||
|
"distributed_executor_backend": "mp",
|
||||||
|
"block_size": 128,
|
||||||
|
"trust_remote_code": "",
|
||||||
|
"enable_chunked_prefill": "",
|
||||||
|
"disable_log_stats": "",
|
||||||
|
"enforce_eager": "",
|
||||||
|
"max_num_batched_tokens": 2048,
|
||||||
|
"max_num_seqs": 256,
|
||||||
|
"load_format": "dummy"
|
||||||
|
},
|
||||||
|
"client_parameters": {
|
||||||
|
"model": "hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4",
|
||||||
|
"backend": "vllm",
|
||||||
|
"dataset_name": "random",
|
||||||
|
"random-input-len": 128,
|
||||||
|
"random-output-len": 128,
|
||||||
|
"ignore-eos": "",
|
||||||
|
"num_prompts": 1000
|
||||||
|
}
|
||||||
}
|
}
|
||||||
]
|
]
|
||||||
|
|||||||
@ -11,9 +11,39 @@ vLLM contains two sets of benchmarks:
|
|||||||
|
|
||||||
The performance benchmarks are used for development to confirm whether new changes improve performance under various workloads. They are triggered on every commit with both the `perf-benchmarks` and `ready` labels, and when a PR is merged into vLLM.
|
The performance benchmarks are used for development to confirm whether new changes improve performance under various workloads. They are triggered on every commit with both the `perf-benchmarks` and `ready` labels, and when a PR is merged into vLLM.
|
||||||
|
|
||||||
|
### Manually Trigger the benchmark
|
||||||
|
|
||||||
|
Use [vllm-ci-test-repo images](https://gallery.ecr.aws/q9t5s3a7/vllm-ci-test-repo) with vLLM benchmark suite.
|
||||||
|
For CPU environment, please use the image with "-cpu" postfix.
|
||||||
|
|
||||||
|
Here is an example for docker run command for CPU.
|
||||||
|
|
||||||
|
```bash
|
||||||
|
docker run -it --entrypoint /bin/bash -v /data/huggingface:/root/.cache/huggingface -e HF_TOKEN='' --shm-size=16g --name vllm-cpu-ci public.ecr.aws/q9t5s3a7/vllm-ci-test-repo:1da94e673c257373280026f75ceb4effac80e892-cpu
|
||||||
|
```
|
||||||
|
|
||||||
|
Then, run below command inside the docker instance.
|
||||||
|
|
||||||
|
```bash
|
||||||
|
bash .buildkite/nightly-benchmarks/scripts/run-performance-benchmarks.sh
|
||||||
|
```
|
||||||
|
|
||||||
|
When run, benchmark script generates results under **benchmark/results** folder, along with the benchmark_results.md and benchmark_results.json.
|
||||||
|
|
||||||
|
#### Runtime environment variables
|
||||||
|
|
||||||
|
- `ON_CPU`: set the value to '1' on Intel® Xeon® Processors. Default value is 0.
|
||||||
|
- `SERVING_JSON`: JSON file to use for the serving tests. Default value is empty string (use default file).
|
||||||
|
- `LATENCY_JSON`: JSON file to use for the latency tests. Default value is empty string (use default file).
|
||||||
|
- `THROUGHPUT_JSON`: JSON file to use for the throughout tests. Default value is empty string (use default file).
|
||||||
|
- `REMOTE_HOST`: IP for the remote vLLM service to benchmark. Default value is empty string.
|
||||||
|
- `REMOTE_PORT`: Port for the remote vLLM service to benchmark. Default value is empty string.
|
||||||
|
|
||||||
|
For more results visualization, check the [visualizing the results](https://github.com/intel-ai-tce/vllm/blob/more_cpu_models/.buildkite/nightly-benchmarks/README.md#visualizing-the-results).
|
||||||
|
|
||||||
The latest performance results are hosted on the public [vLLM Performance Dashboard](https://hud.pytorch.org/benchmark/llms?repoName=vllm-project%2Fvllm).
|
The latest performance results are hosted on the public [vLLM Performance Dashboard](https://hud.pytorch.org/benchmark/llms?repoName=vllm-project%2Fvllm).
|
||||||
|
|
||||||
More information on the performance benchmarks and their parameters can be found [here](gh-file:.buildkite/nightly-benchmarks/performance-benchmarks-descriptions.md).
|
More information on the performance benchmarks and their parameters can be found in [Benchmark README](https://github.com/intel-ai-tce/vllm/blob/more_cpu_models/.buildkite/nightly-benchmarks/README.md) and [performance benchmark description](gh-file:.buildkite/nightly-benchmarks/performance-benchmarks-descriptions.md).
|
||||||
|
|
||||||
[](){ #nightly-benchmarks }
|
[](){ #nightly-benchmarks }
|
||||||
|
|
||||||
|
|||||||
Loading…
x
Reference in New Issue
Block a user