Evaluating the Performance of vLLM: How Did It Do? | HackerNoon
Briefly

from Hackernoon1 year ago
The evaluation of vLLM was conducted using models with various parameters, specifically targeting configurations that reflect popular sizes in the LLM landscape like those of GPT-3.
Hackernoonhttps://hackernoon.com/evaluating-the-performance-of-vllm-how-did-it-do
Synthetic workloads based on ShareGPT and Alpaca datasets were integral to our experimentation, enabling a realistic assessment of client requests for LLM services.
Hackernoonhttps://hackernoon.com/evaluating-the-performance-of-vllm-how-did-it-do
Read at Hackernoon
#llm-evaluation #memory-management #transformer-models #artificial-intelligence #performance-testing
[
|
]