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
1 maintainer
Metadata
1 maintainer
Release files for llmperf 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| llmperf-0.0.1.tar.gz | 1.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| llmperf-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.1 kB
Release files / llmperf-0.0.1.tar.gz
| Download URL | llmperf-0.0.1.tar.gz |
|---|---|
| Size | 1.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.3
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Release files / llmperf-0.0.1-py3-none-any.whl
| Download URL | llmperf-0.0.1-py3-none-any.whl |
|---|---|
| Size | 2.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.3
|
