61 lines
1.0 KiB
Markdown
61 lines
1.0 KiB
Markdown
## Run benchmark
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### Build dataset
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```
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pip install wikipedia
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python3 build_dataset.py
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```
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### Dependencies
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```
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llama_cpp_python 0.2.19
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guidance 0.1.10
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vllm 0.2.5
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outlines 0.0.22
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```
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### Benchmark sglang
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Run llama-7b
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```
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python3 -m sglang.launch_server --model-path meta-llama/Llama-2-7b-chat-hf --port 30000
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```
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Run mixtral-8x7b
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(When there is a CUDA out-of-memory error, try to reduce the `--mem-fraction-static`)
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```
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python3 -m sglang.launch_server --model-path mistralai/Mixtral-8x7B-Instruct-v0.1 --port 30000 --tp-size 8
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```
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Benchmark
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```
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python3 bench_sglang.py --num-questions 10
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```
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### Benchmark vllm
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Run llama-7b
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```
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python3 -m outlines.serve.serve --tokenizer-mode auto --model meta-llama/Llama-2-7b-chat-hf --disable-log-requests --port 21000
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```
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Benchmark
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```
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python3 bench_other.py --backend vllm --num-questions 10
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```
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### Benchmark guidance
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Run llama-7b and benchmark
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```
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python3 bench_other.py --backend guidance --num-questions 10 --parallel 1
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``` |