SwiftInfer

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Introduce：

SwiftInfer is a large-scale Language model (LLM) inference acceleration library based on Nvidia TensorRT framework, which greatly improves LLM inference performance in production environments through GPU acceleration. This project implements the Attention Sink mechanism proposed by the streaming language model and supports the infinite length text generation. The code is simple, easy to run, and supports mainstream large-scale language models.

Stakeholders:
It can be applied to scenarios that require LLM reasoning, such as chatbots and long text generation
Usage Scenario Examples:

• Question and answer chatbot based on Llama model
• Automatic news summary generation system
• Automatically generate marketing copy based on product descriptions

The features of the tool:

• Support streaming language model inference, can handle very long text
• GPU acceleration, inference speed is 3-5 times faster than the original Pytorch implementation
• Supports TensorRT deployment for easy integration into production environments
• Provide sample code, can quickly get started with practical applications

Tool’s Tabs: TensorRT, smart chat