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https://github.com/PaddlePaddle/FastDeploy.git
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[benchmark]add lite-vl and x1 yaml (#4130)
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@@ -6,3 +6,4 @@ tensor_parallel_size: 8
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max_num_batched_tokens: 4096
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max_num_partial_prefills: 3
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max_long_partial_prefills: 3
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quantization: wint4
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@@ -6,3 +6,4 @@ tensor_parallel_size: 8
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max_num_batched_tokens: 4096
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max_num_partial_prefills: 3
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max_long_partial_prefills: 3
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quantization: wint8
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5
benchmarks/yaml/eb45-32k-wint2-tp4.yaml
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5
benchmarks/yaml/eb45-32k-wint2-tp4.yaml
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@@ -0,0 +1,5 @@
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max_model_len: 32768
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max_num_seqs: 256
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kv_cache_ratio: 0.75
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tensor_parallel_size: 4
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gpu_memory_utilization: 0.9
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@@ -13,3 +13,4 @@ pd_comm_port: "2334"
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max_num_batched_tokens: 384
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max_num_partial_prefills: 3
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max_long_partial_prefills: 3
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quantization: wint4
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@@ -10,3 +10,4 @@ engine_worker_queue_port: 6677
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cache_transfer_protocol: "rdma,ipc"
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rdma_comm_ports: "7675,7676,7677,7678"
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pd_comm_port: "2333"
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quantization: wint4
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11
benchmarks/yaml/eb45-vl-128k-wint4-h800-tp8.yaml
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11
benchmarks/yaml/eb45-vl-128k-wint4-h800-tp8.yaml
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@@ -0,0 +1,11 @@
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enable_mm: True
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max_model_len: 131072
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max_num_seqs: 56
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gpu_memory_utilization: 0.8
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kv_cache_ratio: 0.8
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tensor_parallel_size: 8
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quantization: wint4
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limit_mm_per_prompt: '{"image": 100, "video": 100}'
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enable_chunked_prefill: True
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max_num_batched_tokens: 384
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reasoning_parser: ernie-45-vl
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@@ -1,7 +1,7 @@
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enable_mm: True
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max_model_len: 32768
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max_num_seqs: 36
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gpu_memory_utilization: 0.95
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gpu_memory_utilization: 0.9
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kv_cache_ratio: 0.8
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tensor_parallel_size: 8
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quantization: wint8
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@@ -1,7 +1,7 @@
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enable_mm: True
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max_model_len: 32768
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max_num_seqs: 36
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gpu_memory_utilization: 0.8
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gpu_memory_utilization: 0.85
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kv_cache_ratio: 0.8
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tensor_parallel_size: 8
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quantization: wint8
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9
benchmarks/yaml/eb45-vl-lite-32k-bf16-a800-tp1.yaml
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9
benchmarks/yaml/eb45-vl-lite-32k-bf16-a800-tp1.yaml
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@@ -0,0 +1,9 @@
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enable_mm: True
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max_model_len: 32768
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max_num_seqs: 128
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gpu_memory_utilization: 0.9
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kv_cache_ratio: 0.71
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tensor_parallel_size: 1
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enable_chunked_prefill: True
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max_num_batched_tokens: 384
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reasoning_parser: ernie-45-vl
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10
benchmarks/yaml/eb45-vl-lite-32k-wint4-a800-tp1.yaml
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10
benchmarks/yaml/eb45-vl-lite-32k-wint4-a800-tp1.yaml
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@@ -0,0 +1,10 @@
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enable_mm: True
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max_model_len: 32768
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max_num_seqs: 128
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gpu_memory_utilization: 0.9
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kv_cache_ratio: 0.71
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tensor_parallel_size: 1
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enable_chunked_prefill: True
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max_num_batched_tokens: 384
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quantization: wint4
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reasoning_parser: ernie-45-vl
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10
benchmarks/yaml/eb45-vl-lite-32k-wint8-a800-tp1.yaml
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10
benchmarks/yaml/eb45-vl-lite-32k-wint8-a800-tp1.yaml
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@@ -0,0 +1,10 @@
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enable_mm: True
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max_model_len: 32768
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max_num_seqs: 128
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gpu_memory_utilization: 0.9
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kv_cache_ratio: 0.71
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tensor_parallel_size: 1
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enable_chunked_prefill: True
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max_num_batched_tokens: 384
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quantization: wint8
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reasoning_parser: ernie-45-vl
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1
benchmarks/yaml/request_yaml/eb45-vl-128k.yaml
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1
benchmarks/yaml/request_yaml/eb45-vl-128k.yaml
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@@ -0,0 +1 @@
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max_tokens: 131071
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1
benchmarks/yaml/request_yaml/eb45-vl-32k.yaml
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1
benchmarks/yaml/request_yaml/eb45-vl-32k.yaml
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@@ -0,0 +1 @@
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max_tokens: 12288
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@@ -2,7 +2,7 @@ top_p: 0.95
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temperature: 0.6
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metadata:
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min_tokens: 1
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max_tokens: 65535
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max_tokens: 131071
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repetition_penalty: 1.0
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frequency_penalty: 0
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presence_penalty: 0
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6
benchmarks/yaml/x1-a3b-128k-wint8-h800-tp1.yaml
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6
benchmarks/yaml/x1-a3b-128k-wint8-h800-tp1.yaml
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@@ -0,0 +1,6 @@
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or_parallel_size: 1
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max_model_len: 131072
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max_num_seqs: 32
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quantization: wint8
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reasoning_parser: ernie_x1
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tool_call_parser: ernie_x1
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