49 lines
1.2 KiB
Markdown
49 lines
1.2 KiB
Markdown
## Download Dataset
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```sh
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wget -O question.jsonl https://raw.githubusercontent.com/lm-sys/FastChat/main/fastchat/llm_judge/data/mt_bench/question.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 80
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```
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### Benchmark sglang EAGLE
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```
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python3 -m sglang.launch_server --model meta-llama/Meta-Llama-3-8B-Instruct --speculative-algo EAGLE \
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--speculative-draft lmsys/sglang-EAGLE-LLaMA3-Instruct-8B --speculative-num-steps 5 \
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--speculative-eagle-topk 8 --speculative-num-draft-tokens 64 --dtype float16 --port 30000
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```
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```
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python3 bench_sglang_eagle.py --num-questions 80 --parallel 1
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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 80 --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 80 --backend lightllm
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```
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