Ollama LLM Throughput Benchmark
Measure & Maximize Ollama LLM Performance Across Hardware
Listed in categories:
AnalyticsDeveloper ToolsArtificial Intelligence
Description
LLMBenchmark is a tool designed to benchmark the throughput performance of local large language models (LLMs) using the OLLAMA framework. It allows users to evaluate the performance of their models across different platforms, including macOS, Linux, and Windows.
How to use Ollama LLM Throughput Benchmark?
To use LLMBenchmark, install it via pip with the command 'pip install llmbenchmark', then run benchmarks using 'llmbenchmark run' followed by your desired parameters.
Core features of Ollama LLM Throughput Benchmark:
1️⃣
Benchmark throughput performance of local LLMs
2️⃣
Supports macOS, Linux, and Windows
3️⃣
Simple command-line interface
4️⃣
Collects raw data for research purposes
5️⃣
Facilitates innovative applications in AI
Why could be used Ollama LLM Throughput Benchmark?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Researchers evaluating the performance of their LLMs | ✅ | |
| # 2 | Developers optimizing AI applications | ✅ | |
| # 3 | Organizations assessing AI model efficiency | ✅ | |
Who developed Ollama LLM Throughput Benchmark?
Ollama is a prominent figure in AI innovation, focusing on enhancing machine learning capabilities and democratizing access to artificial intelligence. Their commitment to technological advancement is reflected in the development of tools like LLMBenchmark.