README - Sglang — ContextQMD

Run benchmark

NOTE: This is an implementation for replaying a given trace for throughput/latency benchmark purposes. It is not an actual ReAct agent implementation.

Benchmark sglang

python -m sglang.launch_server --model-path meta-llama/Llama-2-7b-chat-hf --port 30000

python3 bench_sglang.py --num-questions 100

Benchmark vllm

python3 -m vllm.entrypoints.api_server --tokenizer-mode auto --model meta-llama/Llama-2-7b-chat-hf --disable-log-requests --port 21000

python3 bench_other.py --num-questions 100 --backend vllm

Benchmark guidance

python3 bench_other.py --num-questions 100 --backend guidance --parallel 1 --n-ctx 4096 --model-path path/to/gguf

Benchmark lmql

python3 bench_other.py --num-questions 100 --backend lmql --parallel 1