35 lines
817 B
Markdown
35 lines
817 B
Markdown
## Run benchmark
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NOTE: This is an implementation for replaying a given trace for throughput/latency benchmark purposes. It is not an actual ReAct agent implementation.
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### Benchmark sglang
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```
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python -m sglang.launch_server --model-path meta-llama/Llama-2-7b-chat-hf --port 30000
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```
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```
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python3 bench_sglang.py --num-questions 100
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```
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### Benchmark vllm
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```
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python3 -m vllm.entrypoints.api_server --tokenizer-mode auto --model meta-llama/Llama-2-7b-chat-hf --disable-log-requests --port 21000
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```
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```
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python3 bench_other.py --num-questions 100 --backend vllm
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```
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### Benchmark guidance
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```
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python3 bench_other.py --num-questions 100 --backend guidance --parallel 1 --n-ctx 4096 --model-path path/to/gguf
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```
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### Benchmark lmql
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```
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python3 bench_other.py --num-questions 100 --backend lmql --parallel 1
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```
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