Preconfigured Architecture
The vLLM CLI comes with four professionally tuned core configurations: standard, MOE-optimized, high-throughput, and low-memory. These solutions are deeply optimized for different application scenarios.
Technical characteristics of the programs
- standard: Smart Defaults for Balancing Performance and Resource Usage
- moe_optimized: Optimizing expert routing efficiency for hybrid expert models
- high_throughput: Maximize request processing power with TPS boosts of up to 40%
- low_memory: Supports FP8 quantization, reducing video memory usage by 60%
Application Recommendations
Test data shows that the correct choice of preset configurations can increase the speed of model inference by 2-3 times. The tool also supports fast configuration switching via the -profile parameter and storing customized profiles via user_profiles.json to meet the flexible needs of professional users.
This answer comes from the articlevLLM CLI: Command Line Tool for Deploying Large Language Models with vLLMThe
May not be reproduced without permission:AI productivity tools " The vLLM CLI offers four on-premises optimized configuration options to improve model performance
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