vllm/benchmarks
Cyrus Leung 5ae5ed1e60
[Core] Consolidate prompt arguments to LLM engines (#4328)
Co-authored-by: Roger Wang <ywang@roblox.com>
2024-05-28 13:29:31 -07:00
..
kernels Marlin 24 prefill performance improvement (about 25% better on average) (#4983) 2024-05-23 02:39:27 -04:00
overheads [Core][Hash][Automatic Prefix caching] Accelerating the hashing function by avoiding deep copies (#4696) 2024-05-14 21:34:33 +09:00
backend_request_func.py [Misc] Make Serving Benchmark More User-friendly (#5044) 2024-05-25 17:28:16 +00:00
benchmark_latency.py [Core] Consolidate prompt arguments to LLM engines (#4328) 2024-05-28 13:29:31 -07:00
benchmark_prefix_caching.py [Core] Enable prefix caching with block manager v2 enabled (#4142) 2024-05-01 11:20:32 -07:00
benchmark_serving.py [Misc] Make Serving Benchmark More User-friendly (#5044) 2024-05-25 17:28:16 +00:00
benchmark_throughput.py [Misc] Load FP8 kv-cache scaling factors from checkpoints (#4893) 2024-05-22 13:28:20 -07:00
launch_tgi_server.sh [Doc]Add documentation to benchmarking script when running TGI (#4920) 2024-05-20 20:16:57 +00:00
README.md Change the name to vLLM (#150) 2023-06-17 03:07:40 -07:00
sonnet.txt feat(benchmarks): Add Prefix Caching Benchmark to Serving Benchmark (#3277) 2024-03-27 13:39:26 -07:00

Benchmarking vLLM

Downloading the ShareGPT dataset

You can download the dataset by running:

wget https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/resolve/main/ShareGPT_V3_unfiltered_cleaned_split.json