SwiftInfer
SwiftInfer integrates TensorRT to enhance Streaming-LLM, enabling LLM inference with extended input length and mitigating model collapse through Attention Sink technology. Developed from TensorRT-LLM, it offers a flexible framework for the deployment of efficient, multi-turn conversational AI systems. The platform features detailed installation guidance, compatibility checks, and benchmarking data against the original PyTorch version. SwiftInfer persistently advances to lead in LLM technology, underlining effective integration and computational efficiency. Discover a solid solution for sophisticated AI inference.
