51 lines
1.8 KiB
Markdown
51 lines
1.8 KiB
Markdown
### Download data
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```
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wget https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/resolve/main/ShareGPT_V3_unfiltered_cleaned_split.json
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```
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Install [FlashInfer](https://github.com/flashinfer-ai/flashinfer) if you want it to be enabled.
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### SGLang
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```
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# use native attention
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python -m sglang.launch_server --model-path meta-llama/Llama-2-7b-chat-hf --tp 1 --port 30000
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# use flashinfer attention: --enable-flashinfer
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# disable RadixAttention: --disable-radix-cache
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```
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```
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# run ShareGPT
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python3 bench_throughput.py --backend srt --tokenizer meta-llama/Llama-2-7b-chat-hf --dataset ShareGPT_V3_unfiltered_cleaned_split.json --num-prompts 10 --request-rate 10 --port 30000
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```
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```
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# run synthetic
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python3 synthetic_benchmark.py --backend srt --tokenizer meta-llama/Llama-2-7b-chat-hf --num-prompt 1000 --request-rate 100 --input-len 1024 --output-len 256 --port 30000
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```
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### vLLM
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```
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python3 -m vllm.entrypoints.api_server --model meta-llama/Llama-2-7b-chat-hf --tensor-parallel 1 --disable-log-requests --swap-space 16 --port 21000
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```
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```
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# run ShareGPT
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python3 bench_throughput.py --backend vllm --tokenizer meta-llama/Llama-2-7b-chat-hf --dataset ShareGPT_V3_unfiltered_cleaned_split.json --num-prompts 10 --request-rate 10 --port 21000
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```
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```
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# run synthetic
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python3 synthetic_benchmark.py --backend vllm --tokenizer meta-llama/Llama-2-7b-chat-hf --num-prompt 1000 --request-rate 100 --input-len 1024 --output-len 256 --port 30000
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```
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### LightLLM
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```
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python -m lightllm.server.api_server --model_dir ~/model_weights/Llama-2-7b-chat-hf --max_total_token_num 15600 --tokenizer_mode auto --port 22000
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```
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```
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python3 bench_throughput.py --backend lightllm --tokenizer meta-llama/Llama-2-7b-chat-hf --dataset ShareGPT_V3_unfiltered_cleaned_split.json --num-prompts 10 --request-rate 10 --port 22000
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```
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