2.1 KiB
2.1 KiB
SRT Unit Tests
Latency Alignment
Make sure your changes do not slow down the following benchmarks
# single gpu
python -m sglang.bench_latency --model-path meta-llama/Llama-2-7b-chat-hf --mem-fraction-static 0.8 --batch 32 --input-len 512 --output-len 256
python -m sglang.bench_latency --model-path meta-llama/Llama-2-7b-chat-hf --mem-fraction-static 0.8 --batch 1 --input-len 512 --output-len 256
# multiple gpu
python -m sglang.bench_latency --model-path meta-llama/Meta-Llama-3-70B --tp 8 --mem-fraction-static 0.6 --batch 32 --input-len 8192 --output-len 1
python -m sglang.bench_latency --model-path meta-llama/Meta-Llama-3-70B --tp 8 --mem-fraction-static 0.6 --batch 1 --input-len 8100 --output-len 32
# moe model
python -m sglang.bench_latency --model-path databricks/dbrx-base --tp 8 --mem-fraction-static 0.6 --batch 4 --input-len 1024 --output-len 32
High-level API
python -m sglang.launch_server --model-path meta-llama/Llama-2-7b-chat-hf --port 30000
cd test/lang
python3 test_srt_backend.py
Performance
MMLU
cd benchmark/mmlu
Follow README.md to download the data.
python3 bench_sglang.py --nsub 3
# Expected performance on A10G
# Total latency: 8.200
# Average accuracy: 0.413
GSM-8K
cd benchmark/gsm8k
Follow README.md to download the data.
python3 bench_sglang.py --num-q 200
# Expected performance on A10G
# Latency: 32.103
# Accuracy: 0.250
More
Please also test benchmark/hellaswag, benchmark/latency_throughput.
More Models
LLaVA
python3 -m sglang.launch_server --model-path liuhaotian/llava-v1.5-7b --tokenizer-path llava-hf/llava-1.5-7b-hf --port 30000
cd benchmark/llava_bench
python3 bench_sglang.py
# Expected performance on A10G
# Latency: 50.031
SGLang Unit Tests
export ANTHROPIC_API_KEY=
export OPENAI_API_KEY=
python -m sglang.launch_server --model-path meta-llama/Llama-2-7b-chat-hf --port 30000
cd test/lang
python3 run_all.py
OpenAI API server
cd test/srt
python test_openai_server.py
Format
pip3 install pre-commit cd sglang pre-commit install pre-commit run --all-files