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Qwen3 235B A22B, Qwen 2.5 VL 7B & Llama 3.1 405B config files and launcher modification
1 parent 1c8a044 commit 16d4eab

13 files changed

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inference/a4/single-host-serving/tensorrt-llm/values.yaml

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workload:
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model:
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name:
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gpus: 8
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gpus: 4
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image:
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framework:
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configFile: serving-args.yaml
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value: "/usr/local/nvidia/lib64:/usr/local/lib/"
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benchmarks:
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experiments:
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- isl: 1024
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osl: 4096
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- isl: 1024 # input sequence length
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osl: 4096 # output sequence length
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# psl: 7900 # prefix sequence length
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num_requests: 1000
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network:

inference/a4x/single-host-serving/tensorrt-llm/values.yaml

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value: "/workload/configs/serving-args.yaml"
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benchmarks:
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experiments:
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- isl: 1024
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osl: 1024
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- isl: 2048
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osl: 2048
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num_requests: 1000
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network:
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tp_size: 4
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pp_size: 1
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backend: pytorch
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kv_cache_free_gpu_mem_fraction: 0.90
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tp_size: 1
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pp_size: 1
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backend: pytorch
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kv_cache_free_gpu_mem_fraction: 0.90
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tp_size: 1
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pp_size: 1
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backend: pytorch
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kv_cache_free_gpu_mem_fraction: 0.90
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tp_size: 4
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pp_size: 1
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ep_size: 1
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backend: pytorch
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kv_cache_free_gpu_mem_fraction: 0.20
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# llm_api_args:
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# cuda_graph_config:
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# batch_sizes:
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# - 1
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# - 2
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# - 4
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# - 8
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# - 16
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# - 20
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# - 24
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# - 32
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# - 64
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# - 96
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# - 128
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# - 160
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# - 192
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# - 256
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# - 320
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# - 384
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# - 512
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# enable_padding: true
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# enable_attention_dp: true
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# enable_chunked_prefill: true
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# kv_cache_config:
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# dtype: auto
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# enable_block_reuse: false
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# free_gpu_memory_fraction: 0.40
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# moe_config:
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# backend: CUTLASS
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# print_iter_log: true
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tp_size: 1
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tp_size: 4
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pp_size: 1
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backend: pytorch
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kv_cache_free_gpu_mem_fraction: 0.90
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tp_size: 4
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pp_size: 1
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backend: pytorch
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kv_cache_free_gpu_mem_fraction: 0.90
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kv_cache_free_gpu_mem_fraction: 0.90
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tp_size: 1
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pp_size: 1
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backend: pytorch
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kv_cache_free_gpu_mem_fraction: 0.90
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tp_size: 1
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pp_size: 1
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backend: pytorch
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kv_cache_free_gpu_mem_fraction: 0.90

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