SwiftInfer
S
Swiftinfer
Overview :
SwiftInfer is an LLM inference acceleration library based on Nvidia TensorRT. It significantly boosts the inference speed of LLMs in production environments by leveraging GPU acceleration. The project implements the Attention Sink mechanism proposed for streaming language models, supporting the generation of infinitely long texts. The code is concise, easy to run, and supports mainstream large language models.
Target Users :
Applicable to scenarios requiring LLM inference, such as chatbots and long text generation.
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Use Cases
Question-answering chatbot based on the Llama model.
Automatic news summarization generation system.
Automatically generate marketing copy based on product descriptions.
Features
Supports inference for streaming language models, handling ultra-long texts.
GPU acceleration, inference speed is 3-5 times faster than the original Pytorch implementation.
Supports TensorRT deployment, making it convenient to integrate into production environments.
Provides example code that allows for rapid implementation of practical applications.
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