Skip to main content

A CLI tool for LLM performance testing

Project description

LLM Perf

llmperf is a benchmarking tool for stress testing self-hosted LLMs, Azure OpenAI, and OpenAI APIs. It provides efficient concurrent request management, detailed performance analysis, and helps developers optimize inference latency and throughput. With customizable test parameters, it is suitable for various LLM workload evaluation scenarios.

1. Config your env

Copy and set up the environment variables from .env.example.

cp .env.example .env

2. Launch your App

Copy and set up the environment variables.

./start.sh

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

llmperf-0.0.1.tar.gz (1.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

llmperf-0.0.1-py3-none-any.whl (2.2 kB view details)

Uploaded Python 3

File details

Details for the file llmperf-0.0.1.tar.gz.

File metadata

  • Download URL: llmperf-0.0.1.tar.gz
  • Upload date:
  • Size: 1.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.3

File hashes

Hashes for llmperf-0.0.1.tar.gz
Algorithm Hash digest
SHA256 4f6ee6e6bb88aaefccded70b66f1bc275cedb15dd7b7cab570cec0dfb76ca25b
MD5 16770f1f6a535dad21eeb93afa03b766
BLAKE2b-256 924d519b2b03ca58864080125359d879907fb574457ed53838650adff6082fdd

See more details on using hashes here.

File details

Details for the file llmperf-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: llmperf-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 2.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.3

File hashes

Hashes for llmperf-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 a1088670b7f6bfa26ae2eefd30395107b27b310e3554b2d135e98b550b5dfad0
MD5 a1bda012463ae0efd6d6d93f53dbec9a
BLAKE2b-256 c826530af65e6f831cff2bf8c17ce57f34e0be16a2a9b134895cff2b5161f19f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page