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vllm
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vllm/benchmarks
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Kunshang Ji f4bc4de1b1
[Core]refactor aqlm quant ops (#4351) 		2024-04-25 15:03:56 -04:00
..
kernels [Core]refactor aqlm quant ops (#4351) 2024-04-25 15:03:56 -04:00
README.md Change the name to vLLM (#150) 2023-06-17 03:07:40 -07:00
backend_request_func.py [Bugfix] fix output parsing error for trtllm backend (#4137) 2024-04-17 11:07:23 +00:00
benchmark_latency.py [Bugfix] Get available quantization methods from quantization registry (#4098) 2024-04-18 00:21:55 -07:00
benchmark_prefix_caching.py [CI] Try introducing isort. (#3495) 2024-03-25 07:59:47 -07:00
benchmark_serving.py [Misc] Update ShareGPT Dataset Sampling in Serving Benchmark (#4279) 2024-04-24 09:49:13 -07:00
benchmark_throughput.py [Misc] Use public API in benchmark_throughput (#4300) 2024-04-24 21:10:24 +00:00
launch_tgi_server.sh Serving Benchmark Refactoring (#2433) 2024-02-12 22:53:00 -08:00
sonnet.txt feat(benchmarks): Add Prefix Caching Benchmark to Serving Benchmark (#3277) 2024-03-27 13:39:26 -07:00

README.md

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