67 lines
1.5 KiB
Markdown
67 lines
1.5 KiB
Markdown
### 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(short output)
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```
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python3 bench_sglang.py --tokenizer meta-llama/Llama-2-7b-chat-hf
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```
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Benchmark(long output)
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```
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python3 bench_sglang.py --tokenizer meta-llama/Llama-2-7b-chat-hf --long
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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 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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Run Mixtral-8x7B
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```
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python3 -m vllm.entrypoints.api_server --tokenizer-mode auto --model mistralai/Mixtral-8x7B-Instruct-v0.1 --disable-log-requests --port 21000 --tensor-parallel-size 8
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```
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Benchmark(short output)
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```
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python3 bench_other.py --tokenizer meta-llama/Llama-2-7b-chat-hf --backend vllm
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```
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Benchmark(long output)
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```
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python3 bench_other.py --tokenizer meta-llama/Llama-2-7b-chat-hf --backend vllm --long
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```
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### Benchmark guidance
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Benchmark Llama-7B (short output)
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```
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python3 bench_other.py --tokenizer meta-llama/Llama-2-7b-chat-hf --backend guidance --parallel 1 --n-ctx 4096 --model-path path/to/gguf
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```
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Benchmark Llama-7B (long output)
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```
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python3 bench_other.py --tokenizer meta-llama/Llama-2-7b-chat-hf --backend guidance --parallel 1 --n-ctx 4096 --model-path path/to/gguf --long
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```
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