mirror of
https://github.com/PaddlePaddle/FastDeploy.git
synced 2025-12-24 13:28:13 +08:00
Sync v2.0 version of code to github repo
This commit is contained in:
8
benchmarks/yaml/eb45-128k-wint4-a800-tp8.yaml
Normal file
8
benchmarks/yaml/eb45-128k-wint4-a800-tp8.yaml
Normal file
@@ -0,0 +1,8 @@
|
||||
enable_chunked_prefill: True
|
||||
max_model_len: 131072
|
||||
max_num_seqs: 16
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 8
|
||||
max_num_batched_tokens: 4096
|
||||
max_num_partial_prefills: 3
|
||||
max_long_partial_prefills: 3
|
||||
5
benchmarks/yaml/eb45-128k-wint4-p800-tp8.yaml
Normal file
5
benchmarks/yaml/eb45-128k-wint4-p800-tp8.yaml
Normal file
@@ -0,0 +1,5 @@
|
||||
max_model_len: 131072
|
||||
max_num_seqs: 40
|
||||
gpu_memory_utilization: 0.9
|
||||
tensor_parallel_size: 8
|
||||
quantization: wint4
|
||||
8
benchmarks/yaml/eb45-128k-wint8-a800-tp8.yaml
Normal file
8
benchmarks/yaml/eb45-128k-wint8-a800-tp8.yaml
Normal file
@@ -0,0 +1,8 @@
|
||||
enable_chunked_prefill: True
|
||||
max_model_len: 131072
|
||||
max_num_seqs: 16
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 8
|
||||
max_num_batched_tokens: 4096
|
||||
max_num_partial_prefills: 3
|
||||
max_long_partial_prefills: 3
|
||||
10
benchmarks/yaml/eb45-21B-vl-128k-wint4-h800-tp1.yaml
Normal file
10
benchmarks/yaml/eb45-21B-vl-128k-wint4-h800-tp1.yaml
Normal file
@@ -0,0 +1,10 @@
|
||||
enable_mm: True
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 128
|
||||
gpu_memory_utilization: 0.9
|
||||
kv_cache_ratio: 0.71
|
||||
tensor_parallel_size: 1
|
||||
enable_chunked_prefill: True
|
||||
max_num_batched_tokens: 384
|
||||
quantization: wint4
|
||||
reasoning_parser: ernie-45-vl
|
||||
5
benchmarks/yaml/eb45-21b-a3b-32k-bf16.yaml
Normal file
5
benchmarks/yaml/eb45-21b-a3b-32k-bf16.yaml
Normal file
@@ -0,0 +1,5 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 128
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 1
|
||||
max_num_batched_tokens: 32768
|
||||
5
benchmarks/yaml/eb45-21b-a3b-32k-wint4-a10.yaml
Normal file
5
benchmarks/yaml/eb45-21b-a3b-32k-wint4-a10.yaml
Normal file
@@ -0,0 +1,5 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 32
|
||||
kv_cache_ratio: 0.5
|
||||
tensor_parallel_size: 1
|
||||
quantization: wint4
|
||||
6
benchmarks/yaml/eb45-21b-a3b-32k-wint4.yaml
Normal file
6
benchmarks/yaml/eb45-21b-a3b-32k-wint4.yaml
Normal file
@@ -0,0 +1,6 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 128
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 1
|
||||
max_num_batched_tokens: 32768
|
||||
quantization: wint4
|
||||
6
benchmarks/yaml/eb45-21b-a3b-32k-wint8.yaml
Normal file
6
benchmarks/yaml/eb45-21b-a3b-32k-wint8.yaml
Normal file
@@ -0,0 +1,6 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 128
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 1
|
||||
max_num_batched_tokens: 32768
|
||||
quantization: wint8
|
||||
5
benchmarks/yaml/eb45-32k-bf16-a30-tp1.yaml
Normal file
5
benchmarks/yaml/eb45-32k-bf16-a30-tp1.yaml
Normal file
@@ -0,0 +1,5 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 128
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 1
|
||||
max_num_batched_tokens: 32768
|
||||
12
benchmarks/yaml/eb45-32k-blockwise-fp8-h800-tp8.yaml
Normal file
12
benchmarks/yaml/eb45-32k-blockwise-fp8-h800-tp8.yaml
Normal file
@@ -0,0 +1,12 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 256
|
||||
tensor_parallel_size: 8
|
||||
quantization: block_wise_fp8
|
||||
gpu_memory_utilization: 0.9
|
||||
kv_cache_ratio: 0.8
|
||||
enable_chunked_prefill: True
|
||||
max_num_batched_tokens: 1024
|
||||
max_num_partial_prefills: 3
|
||||
max_long_partial_prefills: 3
|
||||
enable_prefix_caching: True
|
||||
swap_space: 200
|
||||
11
benchmarks/yaml/eb45-32k-tensorwise-fp8-h800-tp8.yaml
Normal file
11
benchmarks/yaml/eb45-32k-tensorwise-fp8-h800-tp8.yaml
Normal file
@@ -0,0 +1,11 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 256
|
||||
tensor_parallel_size: 8
|
||||
gpu_memory_utilization: 0.9
|
||||
kv_cache_ratio: 0.8
|
||||
enable_chunked_prefill: True
|
||||
max_num_batched_tokens: 1024
|
||||
max_num_partial_prefills: 3
|
||||
max_long_partial_prefills: 3
|
||||
enable_prefix_caching: True
|
||||
swap_space: 200
|
||||
5
benchmarks/yaml/eb45-32k-w4a8c8-a800-tp4.yaml
Normal file
5
benchmarks/yaml/eb45-32k-w4a8c8-a800-tp4.yaml
Normal file
@@ -0,0 +1,5 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 96
|
||||
gpu_memory_utilization: 0.9
|
||||
kv_cache_ratio: 0.71
|
||||
tensor_parallel_size: 4
|
||||
15
benchmarks/yaml/eb45-32k-w4a8c8-tp4_decode.yaml
Normal file
15
benchmarks/yaml/eb45-32k-w4a8c8-tp4_decode.yaml
Normal file
@@ -0,0 +1,15 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 256
|
||||
gpu_memory_utilization: 0.9
|
||||
kv_cache_ratio: 0.8
|
||||
tensor_parallel_size: 4
|
||||
cache_queue_port: 55663
|
||||
enable_chunked_prefill: True
|
||||
splitwise_role: decode
|
||||
engine_worker_queue_port: 6678
|
||||
cache_transfer_protocol: "rdma,ipc"
|
||||
rdma_comm_ports: "7671,7672,7673,7674"
|
||||
pd_comm_port: "2334"
|
||||
max_num_batched_tokens: 384
|
||||
max_num_partial_prefills: 3
|
||||
max_long_partial_prefills: 3
|
||||
12
benchmarks/yaml/eb45-32k-w4a8c8-tp4_prefill.yaml
Normal file
12
benchmarks/yaml/eb45-32k-w4a8c8-tp4_prefill.yaml
Normal file
@@ -0,0 +1,12 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 16
|
||||
gpu_memory_utilization: 0.9
|
||||
kv_cache_ratio: 0.9
|
||||
tensor_parallel_size: 4
|
||||
splitwise_role: prefill
|
||||
enable_prefix_caching: True
|
||||
cache_queue_port: 55664
|
||||
engine_worker_queue_port: 6677
|
||||
cache_transfer_protocol: "rdma,ipc"
|
||||
rdma_comm_ports: "7675,7676,7677,7678"
|
||||
pd_comm_port: "2333"
|
||||
6
benchmarks/yaml/eb45-32k-wint2-h20-tp1.yaml
Normal file
6
benchmarks/yaml/eb45-32k-wint2-h20-tp1.yaml
Normal file
@@ -0,0 +1,6 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 128
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 1
|
||||
enable_prefix_caching: true
|
||||
enable_chunked_prefill: true
|
||||
5
benchmarks/yaml/eb45-32k-wint4-a800-tp4.yaml
Normal file
5
benchmarks/yaml/eb45-32k-wint4-a800-tp4.yaml
Normal file
@@ -0,0 +1,5 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 96
|
||||
gpu_memory_utilization: 0.9
|
||||
kv_cache_ratio: 0.71
|
||||
tensor_parallel_size: 4
|
||||
13
benchmarks/yaml/eb45-32k-wint4-h800-dp8_decode.yaml
Normal file
13
benchmarks/yaml/eb45-32k-wint4-h800-dp8_decode.yaml
Normal file
@@ -0,0 +1,13 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 256
|
||||
gpu_memory_utilization: 0.9
|
||||
kv_cache_ratio: 0.8
|
||||
tensor_parallel_size: 1
|
||||
data_parallel_size: 8
|
||||
num_gpu_blocks_override: 1024
|
||||
cache_queue_port: 55663
|
||||
splitwise_role: decode
|
||||
engine_worker_queue_port: 6678
|
||||
cache_transfer_protocol: "rdma"
|
||||
rdma_comm_ports: "7671,7672,7673,7674,7675,7676,7677,7678"
|
||||
pd_comm_port: "2334"
|
||||
13
benchmarks/yaml/eb45-32k-wint4-h800-dp8_prefill.yaml
Normal file
13
benchmarks/yaml/eb45-32k-wint4-h800-dp8_prefill.yaml
Normal file
@@ -0,0 +1,13 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 16
|
||||
gpu_memory_utilization: 0.9
|
||||
kv_cache_ratio: 0.9
|
||||
tensor_parallel_size: 1
|
||||
data_parallel_size: 8
|
||||
splitwise_role: prefill
|
||||
cache_queue_port: 55664
|
||||
engine_worker_queue_port: 6677
|
||||
num_gpu_blocks_override: 1024
|
||||
cache_transfer_protocol: "rdma"
|
||||
rdma_comm_ports: "7671,7672,7673,7674,7675,7676,7677,7678"
|
||||
pd_comm_port: "2334"
|
||||
6
benchmarks/yaml/eb45-32k-wint4-mtp-h800-tp4.yaml
Normal file
6
benchmarks/yaml/eb45-32k-wint4-mtp-h800-tp4.yaml
Normal file
@@ -0,0 +1,6 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 96
|
||||
gpu_memory_utilization: 0.9
|
||||
kv_cache_ratio: 0.71
|
||||
tensor_parallel_size: 4
|
||||
quantization: wint4
|
||||
13
benchmarks/yaml/eb45-32k-wint4-mtp-tp4-decode.yaml
Normal file
13
benchmarks/yaml/eb45-32k-wint4-mtp-tp4-decode.yaml
Normal file
@@ -0,0 +1,13 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 128
|
||||
gpu_memory_utilization: 0.9
|
||||
kv_cache_ratio: 0.7
|
||||
tensor_parallel_size: 4
|
||||
cache_queue_port: 55663
|
||||
enable_chunked_prefill: False
|
||||
enable_prefix_caching: False
|
||||
splitwise_role: decode
|
||||
engine_worker_queue_port: 6678
|
||||
cache_transfer_protocol: "rdma,ipc"
|
||||
rdma_comm_ports: "7671,7672,7673,7674"
|
||||
pd_comm_port: "2334"
|
||||
12
benchmarks/yaml/eb45-32k-wint4-mtp-tp4-prefill.yaml
Normal file
12
benchmarks/yaml/eb45-32k-wint4-mtp-tp4-prefill.yaml
Normal file
@@ -0,0 +1,12 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 16
|
||||
gpu_memory_utilization: 0.9
|
||||
kv_cache_ratio: 0.9
|
||||
tensor_parallel_size: 4
|
||||
splitwise_role: prefill
|
||||
enable_prefix_caching: False
|
||||
cache_queue_port: 55664
|
||||
engine_worker_queue_port: 6677
|
||||
cache_transfer_protocol: "rdma,ipc"
|
||||
rdma_comm_ports: "7675,7676,7677,7678"
|
||||
pd_comm_port: "2333"
|
||||
5
benchmarks/yaml/eb45-32k-wint4-p800-tp4.yaml
Normal file
5
benchmarks/yaml/eb45-32k-wint4-p800-tp4.yaml
Normal file
@@ -0,0 +1,5 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 40
|
||||
tensor_parallel_size: 4
|
||||
quantization: wint4
|
||||
gpu_memory_utilization: 0.9
|
||||
5
benchmarks/yaml/eb45-32k-wint4-p800-tp8.yaml
Normal file
5
benchmarks/yaml/eb45-32k-wint4-p800-tp8.yaml
Normal file
@@ -0,0 +1,5 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 160
|
||||
tensor_parallel_size: 8
|
||||
quantization: wint4
|
||||
gpu_memory_utilization: 0.9
|
||||
8
benchmarks/yaml/eb45-32k-wint4-prefixcache-a800-tp4.yaml
Normal file
8
benchmarks/yaml/eb45-32k-wint4-prefixcache-a800-tp4.yaml
Normal file
@@ -0,0 +1,8 @@
|
||||
enable_prefix_caching: True
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 128
|
||||
gpu_memory_utilization: 0.9
|
||||
kv_cache_ratio: 0.71
|
||||
tensor_parallel_size: 4
|
||||
swap_space: 200
|
||||
cache_queue_port: 55664
|
||||
15
benchmarks/yaml/eb45-32k-wint4-tp4_decode.yaml
Normal file
15
benchmarks/yaml/eb45-32k-wint4-tp4_decode.yaml
Normal file
@@ -0,0 +1,15 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 256
|
||||
gpu_memory_utilization: 0.9
|
||||
kv_cache_ratio: 0.8
|
||||
tensor_parallel_size: 4
|
||||
cache_queue_port: 55663
|
||||
enable_chunked_prefill: True
|
||||
splitwise_role: decode
|
||||
engine_worker_queue_port: 6678
|
||||
cache_transfer_protocol: "rdma,ipc"
|
||||
rdma_comm_ports: "7671,7672,7673,7674"
|
||||
pd_comm_port: "2334"
|
||||
max_num_batched_tokens: 384
|
||||
max_num_partial_prefills: 3
|
||||
max_long_partial_prefills: 3
|
||||
12
benchmarks/yaml/eb45-32k-wint4-tp4_prefill.yaml
Normal file
12
benchmarks/yaml/eb45-32k-wint4-tp4_prefill.yaml
Normal file
@@ -0,0 +1,12 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 16
|
||||
gpu_memory_utilization: 0.9
|
||||
kv_cache_ratio: 0.9
|
||||
tensor_parallel_size: 4
|
||||
splitwise_role: prefill
|
||||
enable_prefix_caching: True
|
||||
cache_queue_port: 55664
|
||||
engine_worker_queue_port: 6677
|
||||
cache_transfer_protocol: "rdma,ipc"
|
||||
rdma_comm_ports: "7675,7676,7677,7678"
|
||||
pd_comm_port: "2333"
|
||||
5
benchmarks/yaml/eb45-32k-wint8-a800-tp8.yaml
Normal file
5
benchmarks/yaml/eb45-32k-wint8-a800-tp8.yaml
Normal file
@@ -0,0 +1,5 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 96
|
||||
gpu_memory_utilization: 0.9
|
||||
kv_cache_ratio: 0.71
|
||||
tensor_parallel_size: 8
|
||||
5
benchmarks/yaml/eb45-32k-wint8-p800-tp8.yaml
Normal file
5
benchmarks/yaml/eb45-32k-wint8-p800-tp8.yaml
Normal file
@@ -0,0 +1,5 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 80
|
||||
tensor_parallel_size: 8
|
||||
quantization: wint8
|
||||
gpu_memory_utilization: 0.9
|
||||
9
benchmarks/yaml/eb45-32k-wint8-prefixcache-a800-tp8.yaml
Normal file
9
benchmarks/yaml/eb45-32k-wint8-prefixcache-a800-tp8.yaml
Normal file
@@ -0,0 +1,9 @@
|
||||
enable_prefix_caching: True
|
||||
max_model_len: 32768
|
||||
max_num_batched_tokens: 68304
|
||||
max_num_seqs: 128
|
||||
gpu_memory_utilization: 0.9
|
||||
kv_cache_ratio: 0.71
|
||||
tensor_parallel_size: 8
|
||||
swap_space: 100
|
||||
cache_queue_port: 55664
|
||||
9
benchmarks/yaml/eb45-vl-32k-wint4-a800-tp8.yaml
Normal file
9
benchmarks/yaml/eb45-vl-32k-wint4-a800-tp8.yaml
Normal file
@@ -0,0 +1,9 @@
|
||||
enable_mm: True
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 56
|
||||
gpu_memory_utilization: 0.9
|
||||
kv_cache_ratio: 0.8
|
||||
tensor_parallel_size: 8
|
||||
quantization: wint4
|
||||
limit_mm_per_prompt: '{"image": 100, "video": 100}'
|
||||
reasoning_parser: ernie-45-vl
|
||||
11
benchmarks/yaml/eb45-vl-32k-wint4-h800-tp8.yaml
Normal file
11
benchmarks/yaml/eb45-vl-32k-wint4-h800-tp8.yaml
Normal file
@@ -0,0 +1,11 @@
|
||||
enable_mm: True
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 56
|
||||
gpu_memory_utilization: 0.8
|
||||
kv_cache_ratio: 0.8
|
||||
tensor_parallel_size: 8
|
||||
quantization: wint4
|
||||
limit_mm_per_prompt: '{"image": 100, "video": 100}'
|
||||
enable_chunked_prefill: True
|
||||
max_num_batched_tokens: 384
|
||||
reasoning_parser: ernie-45-vl
|
||||
9
benchmarks/yaml/eb45-vl-32k-wint4-tp4.yaml
Normal file
9
benchmarks/yaml/eb45-vl-32k-wint4-tp4.yaml
Normal file
@@ -0,0 +1,9 @@
|
||||
enable_mm: True
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 36
|
||||
gpu_memory_utilization: 0.9
|
||||
kv_cache_ratio: 0.8
|
||||
tensor_parallel_size: 4
|
||||
quantization: wint4
|
||||
limit_mm_per_prompt: '{"image": 100, "video": 100}'
|
||||
reasoning_parser: ernie-45-vl
|
||||
9
benchmarks/yaml/eb45-vl-32k-wint8-a800-tp8.yaml
Normal file
9
benchmarks/yaml/eb45-vl-32k-wint8-a800-tp8.yaml
Normal file
@@ -0,0 +1,9 @@
|
||||
enable_mm: True
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 36
|
||||
gpu_memory_utilization: 0.95
|
||||
kv_cache_ratio: 0.8
|
||||
tensor_parallel_size: 8
|
||||
quantization: wint8
|
||||
limit_mm_per_prompt: '{"image": 100, "video": 100}'
|
||||
reasoning_parser: ernie-45-vl
|
||||
11
benchmarks/yaml/eb45-vl-32k-wint8-h800-tp8.yaml
Normal file
11
benchmarks/yaml/eb45-vl-32k-wint8-h800-tp8.yaml
Normal file
@@ -0,0 +1,11 @@
|
||||
enable_mm: True
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 36
|
||||
gpu_memory_utilization: 0.8
|
||||
kv_cache_ratio: 0.8
|
||||
tensor_parallel_size: 8
|
||||
quantization: wint8
|
||||
limit_mm_per_prompt: '{"image": 100, "video": 100}'
|
||||
enable_chunked_prefill: True
|
||||
max_num_batched_tokens: 384
|
||||
reasoning_parser: ernie-45-vl
|
||||
9
benchmarks/yaml/eb45-vl-32k-wint8-tp4.yaml
Normal file
9
benchmarks/yaml/eb45-vl-32k-wint8-tp4.yaml
Normal file
@@ -0,0 +1,9 @@
|
||||
enable_mm: True
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 36
|
||||
gpu_memory_utilization: 0.9
|
||||
kv_cache_ratio: 0.8
|
||||
tensor_parallel_size: 4
|
||||
quantization: wint8
|
||||
limit_mm_per_prompt: '{"image": 100, "video": 100}'
|
||||
reasoning_parser: ernie-45-vl
|
||||
@@ -0,0 +1,5 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 128
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 1
|
||||
enable_static_graph_inference: True
|
||||
@@ -0,0 +1,5 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 128
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 1
|
||||
enable_static_graph_inference: True
|
||||
@@ -0,0 +1,6 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 128
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 1
|
||||
quantization: wint8
|
||||
enable_static_graph_inference: True
|
||||
@@ -0,0 +1,6 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 128
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 1
|
||||
quantization: wint8
|
||||
enable_static_graph_inference: True
|
||||
5
benchmarks/yaml/eb45t_21b-32k-bf16-h800-tp1-static.yaml
Normal file
5
benchmarks/yaml/eb45t_21b-32k-bf16-h800-tp1-static.yaml
Normal file
@@ -0,0 +1,5 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 128
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 1
|
||||
enable_static_graph_inference: True
|
||||
6
benchmarks/yaml/eb45t_21b-32k-wint4-h800-tp1-static.yaml
Normal file
6
benchmarks/yaml/eb45t_21b-32k-wint4-h800-tp1-static.yaml
Normal file
@@ -0,0 +1,6 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 128
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 1
|
||||
quantization: wint4
|
||||
enable_static_graph_inference: True
|
||||
@@ -0,0 +1,6 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 96
|
||||
gpu_memory_utilization: 0.9
|
||||
kv_cache_ratio: 0.71
|
||||
tensor_parallel_size: 4
|
||||
enable_static_graph_inference: True
|
||||
5
benchmarks/yaml/qwen2_7b-32k-bf16-a30-tp1-static.yaml
Normal file
5
benchmarks/yaml/qwen2_7b-32k-bf16-a30-tp1-static.yaml
Normal file
@@ -0,0 +1,5 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 128
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 1
|
||||
enable_static_graph_inference: True
|
||||
5
benchmarks/yaml/qwen2_7b-32k-bf16-h800-tp1-static.yaml
Normal file
5
benchmarks/yaml/qwen2_7b-32k-bf16-h800-tp1-static.yaml
Normal file
@@ -0,0 +1,5 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 128
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 1
|
||||
enable_static_graph_inference: True
|
||||
4
benchmarks/yaml/qwen2_7b-32k-bf16-h800-tp1.yaml
Normal file
4
benchmarks/yaml/qwen2_7b-32k-bf16-h800-tp1.yaml
Normal file
@@ -0,0 +1,4 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 128
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 1
|
||||
6
benchmarks/yaml/qwen2_7b-32k-fp8-h800-tp1-static.yaml
Normal file
6
benchmarks/yaml/qwen2_7b-32k-fp8-h800-tp1-static.yaml
Normal file
@@ -0,0 +1,6 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 128
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 1
|
||||
quantization: wfp8afp8
|
||||
enable_static_graph_inference: True
|
||||
5
benchmarks/yaml/qwen2_7b-32k-fp8-h800-tp1.yaml
Normal file
5
benchmarks/yaml/qwen2_7b-32k-fp8-h800-tp1.yaml
Normal file
@@ -0,0 +1,5 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 128
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 1
|
||||
quantization: wfp8afp8
|
||||
5
benchmarks/yaml/qwen2_7b-32k-wint8-h800-tp1.yaml
Normal file
5
benchmarks/yaml/qwen2_7b-32k-wint8-h800-tp1.yaml
Normal file
@@ -0,0 +1,5 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 128
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 1
|
||||
quantization: wint8
|
||||
@@ -0,0 +1,5 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 128
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 1
|
||||
enable_static_graph_inference: True
|
||||
@@ -0,0 +1,5 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 128
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 1
|
||||
enable_static_graph_inference: True
|
||||
@@ -0,0 +1,6 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 128
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 1
|
||||
quantization: wint8
|
||||
enable_static_graph_inference: True
|
||||
@@ -0,0 +1,6 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 128
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 1
|
||||
quantization: wint8
|
||||
enable_static_graph_inference: True
|
||||
5
benchmarks/yaml/qwen3_30b-32k-bf16-h800-tp1-static.yaml
Normal file
5
benchmarks/yaml/qwen3_30b-32k-bf16-h800-tp1-static.yaml
Normal file
@@ -0,0 +1,5 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 128
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 1
|
||||
enable_static_graph_inference: True
|
||||
6
benchmarks/yaml/qwen3_30b-32k-wint4-h800-tp1-static.yaml
Normal file
6
benchmarks/yaml/qwen3_30b-32k-wint4-h800-tp1-static.yaml
Normal file
@@ -0,0 +1,6 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 128
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 1
|
||||
quantization: wint4
|
||||
enable_static_graph_inference: True
|
||||
5
benchmarks/yaml/qwen3dot6b-32k-bf16-a30-tp1.yaml
Normal file
5
benchmarks/yaml/qwen3dot6b-32k-bf16-a30-tp1.yaml
Normal file
@@ -0,0 +1,5 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 256
|
||||
gpu_memory_utilization: 0.9
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 1
|
||||
5
benchmarks/yaml/qwen3dot6b-32k-bf16-a800-tp1.yaml
Normal file
5
benchmarks/yaml/qwen3dot6b-32k-bf16-a800-tp1.yaml
Normal file
@@ -0,0 +1,5 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 256
|
||||
gpu_memory_utilization: 0.9
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 1
|
||||
5
benchmarks/yaml/qwen3dot6b-32k-bf16-h800-tp1.yaml
Normal file
5
benchmarks/yaml/qwen3dot6b-32k-bf16-h800-tp1.yaml
Normal file
@@ -0,0 +1,5 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 256
|
||||
gpu_memory_utilization: 0.9
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 1
|
||||
6
benchmarks/yaml/qwen3dot6b-32k-wint8-a30-tp1.yaml
Normal file
6
benchmarks/yaml/qwen3dot6b-32k-wint8-a30-tp1.yaml
Normal file
@@ -0,0 +1,6 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 256
|
||||
gpu_memory_utilization: 0.9
|
||||
kv_cache_ratio: 0.75
|
||||
quantization: wint8
|
||||
tensor_parallel_size: 1
|
||||
6
benchmarks/yaml/qwen3dot6b-32k-wint8-a800-tp1.yaml
Normal file
6
benchmarks/yaml/qwen3dot6b-32k-wint8-a800-tp1.yaml
Normal file
@@ -0,0 +1,6 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 256
|
||||
gpu_memory_utilization: 0.9
|
||||
kv_cache_ratio: 0.75
|
||||
quantization: wint8
|
||||
tensor_parallel_size: 1
|
||||
6
benchmarks/yaml/qwen3dot6b-32k-wint8-h800-tp1.yaml
Normal file
6
benchmarks/yaml/qwen3dot6b-32k-wint8-h800-tp1.yaml
Normal file
@@ -0,0 +1,6 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 256
|
||||
gpu_memory_utilization: 0.9
|
||||
kv_cache_ratio: 0.75
|
||||
quantization: wint8
|
||||
tensor_parallel_size: 1
|
||||
6
benchmarks/yaml/qwen3moe235b-32k-wint4-h800-tp4.yaml
Normal file
6
benchmarks/yaml/qwen3moe235b-32k-wint4-h800-tp4.yaml
Normal file
@@ -0,0 +1,6 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 75
|
||||
gpu_memory_utilization: 0.85
|
||||
kv_cache_ratio: 0.75
|
||||
quantization: wint4
|
||||
tensor_parallel_size: 4
|
||||
6
benchmarks/yaml/qwen3moe235b-32k-wint8-h800-tp4.yaml
Normal file
6
benchmarks/yaml/qwen3moe235b-32k-wint8-h800-tp4.yaml
Normal file
@@ -0,0 +1,6 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 25
|
||||
gpu_memory_utilization: 0.9
|
||||
kv_cache_ratio: 0.75
|
||||
quantization: wint8
|
||||
tensor_parallel_size: 4
|
||||
5
benchmarks/yaml/qwen3moe30b-32k-bf16-a800-tp1.yaml
Normal file
5
benchmarks/yaml/qwen3moe30b-32k-bf16-a800-tp1.yaml
Normal file
@@ -0,0 +1,5 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 50
|
||||
gpu_memory_utilization: 0.85
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 1
|
||||
5
benchmarks/yaml/qwen3moe30b-32k-bf16-h800-tp1.yaml
Normal file
5
benchmarks/yaml/qwen3moe30b-32k-bf16-h800-tp1.yaml
Normal file
@@ -0,0 +1,5 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 50
|
||||
gpu_memory_utilization: 0.85
|
||||
kv_cache_ratio: 0.75
|
||||
tensor_parallel_size: 1
|
||||
6
benchmarks/yaml/qwen3moe30b-32k-wint4-a800-tp1.yaml
Normal file
6
benchmarks/yaml/qwen3moe30b-32k-wint4-a800-tp1.yaml
Normal file
@@ -0,0 +1,6 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 50
|
||||
gpu_memory_utilization: 0.8
|
||||
kv_cache_ratio: 0.75
|
||||
quantization: wint4
|
||||
tensor_parallel_size: 1
|
||||
6
benchmarks/yaml/qwen3moe30b-32k-wint4-h800-tp1.yaml
Normal file
6
benchmarks/yaml/qwen3moe30b-32k-wint4-h800-tp1.yaml
Normal file
@@ -0,0 +1,6 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 50
|
||||
gpu_memory_utilization: 0.8
|
||||
kv_cache_ratio: 0.75
|
||||
quantization: wint4
|
||||
tensor_parallel_size: 1
|
||||
8
benchmarks/yaml/request_yaml/eb45-128k.yaml
Normal file
8
benchmarks/yaml/request_yaml/eb45-128k.yaml
Normal file
@@ -0,0 +1,8 @@
|
||||
top_p: 0.8
|
||||
temperature: 0.8
|
||||
metadata:
|
||||
min_tokens: 1
|
||||
max_tokens: 131071
|
||||
repetition_penalty: 1.0
|
||||
frequency_penalty: 0
|
||||
presence_penalty: 0
|
||||
8
benchmarks/yaml/request_yaml/eb45-32k.yaml
Normal file
8
benchmarks/yaml/request_yaml/eb45-32k.yaml
Normal file
@@ -0,0 +1,8 @@
|
||||
top_p: 0.8
|
||||
temperature: 0.8
|
||||
metadata:
|
||||
min_tokens: 1
|
||||
max_tokens: 12288
|
||||
repetition_penalty: 1.0
|
||||
frequency_penalty: 0
|
||||
presence_penalty: 0
|
||||
8
benchmarks/yaml/request_yaml/qwen2-32k.yaml
Normal file
8
benchmarks/yaml/request_yaml/qwen2-32k.yaml
Normal file
@@ -0,0 +1,8 @@
|
||||
top_p: 0.8
|
||||
temperature: 0.7
|
||||
metadata:
|
||||
min_tokens: 1
|
||||
max_tokens: 12288
|
||||
repetition_penalty: 1.05
|
||||
frequency_penalty: 0
|
||||
presence_penalty: 0
|
||||
8
benchmarks/yaml/request_yaml/qwen3-32k.yaml
Normal file
8
benchmarks/yaml/request_yaml/qwen3-32k.yaml
Normal file
@@ -0,0 +1,8 @@
|
||||
top_p: 0.8
|
||||
temperature: 0.7
|
||||
metadata:
|
||||
min_tokens: 1
|
||||
max_tokens: 12288
|
||||
repetition_penalty: 1.0
|
||||
frequency_penalty: 0
|
||||
presence_penalty: 1.5
|
||||
8
benchmarks/yaml/request_yaml/x1-32k.yaml
Normal file
8
benchmarks/yaml/request_yaml/x1-32k.yaml
Normal file
@@ -0,0 +1,8 @@
|
||||
top_p: 0.95
|
||||
temperature: 0.6
|
||||
metadata:
|
||||
min_tokens: 1
|
||||
max_tokens: 32767
|
||||
repetition_penalty: 1.0
|
||||
frequency_penalty: 0
|
||||
presence_penalty: 0
|
||||
6
benchmarks/yaml/x1-32k-wint4-h800-tp8.yaml
Normal file
6
benchmarks/yaml/x1-32k-wint4-h800-tp8.yaml
Normal file
@@ -0,0 +1,6 @@
|
||||
tensor_parallel_size: 8
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 32
|
||||
num_gpu_blocks_override: 4096
|
||||
kv_cache_ratio: 0.5
|
||||
reasoning_parser: ernie-x1
|
||||
6
benchmarks/yaml/x1-32k-wint4-p800-tp4.yaml
Normal file
6
benchmarks/yaml/x1-32k-wint4-p800-tp4.yaml
Normal file
@@ -0,0 +1,6 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 32
|
||||
gpu_memory_utilization: 0.9
|
||||
tensor_parallel_size: 4
|
||||
quantization: wint4
|
||||
reasoning_parser: ernie-x1
|
||||
6
benchmarks/yaml/x1-32k-wint4-p800-tp8.yaml
Normal file
6
benchmarks/yaml/x1-32k-wint4-p800-tp8.yaml
Normal file
@@ -0,0 +1,6 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 128
|
||||
gpu_memory_utilization: 0.9
|
||||
tensor_parallel_size: 8
|
||||
quantization: wint4
|
||||
reasoning_parser: ernie-x1
|
||||
10
benchmarks/yaml/x1-32k-wint4-prefixcache-h800-tp8.yaml
Normal file
10
benchmarks/yaml/x1-32k-wint4-prefixcache-h800-tp8.yaml
Normal file
@@ -0,0 +1,10 @@
|
||||
enable_prefix_caching: True
|
||||
num_gpu_blocks_override: 8000
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 64
|
||||
gpu_memory_utilization: 0.85
|
||||
kv_cache_ratio: 0.5
|
||||
tensor_parallel_size: 8
|
||||
swap_space: 200
|
||||
cache_queue_port: 55664
|
||||
reasoning_parser: ernie-x1
|
||||
6
benchmarks/yaml/x1-32k-wint8-h800-tp8.yaml
Normal file
6
benchmarks/yaml/x1-32k-wint8-h800-tp8.yaml
Normal file
@@ -0,0 +1,6 @@
|
||||
tensor_parallel_size: 8
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 32
|
||||
num_gpu_blocks_override: 4096
|
||||
kv_cache_ratio: 0.5
|
||||
reasoning_parser: ernie-x1
|
||||
6
benchmarks/yaml/x1-32k-wint8-p800-tp4.yaml
Normal file
6
benchmarks/yaml/x1-32k-wint8-p800-tp4.yaml
Normal file
@@ -0,0 +1,6 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 8
|
||||
gpu_memory_utilization: 0.9
|
||||
tensor_parallel_size: 4
|
||||
quantization: wint8
|
||||
reasoning_parser: ernie-x1
|
||||
6
benchmarks/yaml/x1-32k-wint8-p800-tp8.yaml
Normal file
6
benchmarks/yaml/x1-32k-wint8-p800-tp8.yaml
Normal file
@@ -0,0 +1,6 @@
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 64
|
||||
gpu_memory_utilization: 0.9
|
||||
tensor_parallel_size: 8
|
||||
quantization: wint8
|
||||
reasoning_parser: ernie-x1
|
||||
10
benchmarks/yaml/x1-32k-wint8-prefixcache-h800-tp8.yaml
Normal file
10
benchmarks/yaml/x1-32k-wint8-prefixcache-h800-tp8.yaml
Normal file
@@ -0,0 +1,10 @@
|
||||
enable_prefix_caching: True
|
||||
num_gpu_blocks_override: 8000
|
||||
max_model_len: 32768
|
||||
max_num_seqs: 64
|
||||
gpu_memory_utilization: 0.85
|
||||
kv_cache_ratio: 0.5
|
||||
tensor_parallel_size: 8
|
||||
swap_space: 200
|
||||
cache_queue_port: 55664
|
||||
reasoning_parser: ernie-x1
|
||||
Reference in New Issue
Block a user