53 lines
1.1 KiB
Markdown
53 lines
1.1 KiB
Markdown
## Download data
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```
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wget https://raw.githubusercontent.com/rowanz/hellaswag/master/data/hellaswag_val.jsonl
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```
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## Run benchmark
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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 200
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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 200 --backend vllm
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```
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### Benchmark lightllm
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```
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# A10G
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python -m lightllm.server.api_server --tokenizer_mode auto --model_dir ~/model_weights/llama-2-7b-chat-hf --max_total_token_num 16000 --port 22000
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```
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```
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python3 bench_other.py --num-questions 200 --backend lightllm
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```
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### Benchmark guidance
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```
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CUDA_VISIBLE_DEVICES=0,1 python3 bench_other.py --num-questions 200 --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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lmql serve-model meta-llama/Llama-2-7b-chat-hf --cuda --port 23000
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```
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```
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python3 bench_other.py --num-questions 200 --backend lmql --port 23000 --parallel 1
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```
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