30 lines
3.5 KiB
Bash
30 lines
3.5 KiB
Bash
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# create ~/llama-3.1-405b-fp8-dummy and create config.json and tokenizer:
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# config.json from https://gist.github.com/zhyncs/748597c44d47b45fa15866a4ae2c2b29?permalink_comment_id=5128893
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# (remove the new llama3 rope_scaling entry to run with vLLM 0.5.2)
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# wget https://huggingface.co/neuralmagic/Meta-Llama-3.1-8B-Instruct-quantized.w8a8/resolve/main/tokenizer.json?download=true
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# wget wget https://huggingface.co/neuralmagic/Meta-Llama-3.1-8B-Instruct-quantized.w8a8/resolve/main/tokenizer_config.json?download=true
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# Launch vllm
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# python3 -m vllm.entrypoints.openai.api_server --model ~/llama-3.1-405b-fp8-dummy/ --load-format dummy --disable-log-requests --tensor-parallel-size 8 --max-model-len 10000
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# offline
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python3 ../../python/sglang/bench_serving.py --backend vllm --dataset-name random --num-prompt 2500 --random-input 1024 --random-output 1024 --random-range-ratio 0.5 > vllm/log11
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python3 ../../python/sglang/bench_serving.py --backend vllm --dataset-name random --num-prompt 2500 --random-input 4096 --random-output 1024 --random-range-ratio 0.5 > vllm/log12
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python3 ../../python/sglang/bench_serving.py --backend vllm --dataset-name random --num-prompt 2500 --random-input 1024 --random-output 512 --random-range-ratio 0.5 > vllm/log13
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python3 ../../python/sglang/bench_serving.py --backend vllm --dataset-name random --num-prompt 2500 --random-input 4096 --random-output 512 --random-range-ratio 0.5 > vllm/log14
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python3 ../../python/sglang/bench_serving.py --backend vllm --dataset-name sharegpt --num-prompt 2500 > vllm/log21
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# online
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python3 ../../python/sglang/bench_serving.py --backend vllm --dataset-name random --num-prompt 300 --request-rate 1 --random-input 4096 --random-output 1024 --random-range-ratio 0.125 > vllm/log31
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python3 ../../python/sglang/bench_serving.py --backend vllm --dataset-name random --num-prompt 600 --request-rate 2 --random-input 4096 --random-output 1024 --random-range-ratio 0.125 > vllm/log32
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python3 ../../python/sglang/bench_serving.py --backend vllm --dataset-name random --num-prompt 1200 --request-rate 4 --random-input 4096 --random-output 1024 --random-range-ratio 0.125 > vllm/log33
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python3 ../../python/sglang/bench_serving.py --backend vllm --dataset-name random --num-prompt 2400 --request-rate 8 --random-input 4096 --random-output 1024 --random-range-ratio 0.125 > vllm/log34
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python3 ../../python/sglang/bench_serving.py --backend vllm --dataset-name random --num-prompt 3200 --request-rate 16 --random-input 4096 --random-output 1024 --random-range-ratio 0.125 > vllm/log35
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# python3 ../../python/sglang/bench_serving.py --backend vllm --dataset-name random --num-prompt 1000 --request-rate 32 --random-input 4096 --random-output 1024 --random-range-ratio 0.125 > vllm/log36
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# python3 ../../python/sglang/bench_serving.py --backend vllm --dataset-name sharegpt --num-prompt 1000 --request-rate 1 > vllm/log41
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# python3 ../../python/sglang/bench_serving.py --backend vllm --dataset-name sharegpt --num-prompt 1000 --request-rate 2 > vllm/log42
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# python3 ../../python/sglang/bench_serving.py --backend vllm --dataset-name sharegpt --num-prompt 1000 --request-rate 4 > vllm/log43
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# python3 ../../python/sglang/bench_serving.py --backend vllm --dataset-name sharegpt --num-prompt 1000 --request-rate 8 > vllm/log44
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# python3 ../../python/sglang/bench_serving.py --backend vllm --dataset-name sharegpt --num-prompt 1000 --request-rate 16 > vllm/log45
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# python3 ../../python/sglang/bench_serving.py --backend vllm --dataset-name sharegpt --num-prompt 1000 --request-rate 32 > vllm/log46
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