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PaddlePaddle/FastDeploy

A high-performance inference and deployment toolkit for Large Language Models (LLMs) and Vision-Language Models (VLMs) based on PaddlePaddle.

Core Features

Load-balanced PD decomposition with context caching and dynamic instance role switching

OpenAI API service and vLLM compatibility for easy deployment

Comprehensive quantization support including W8A16, W4A16, FP8, etc.

Advanced acceleration techniques like speculative decoding and multi-token prediction

Extensive multi-hardware support for NVIDIA, Kunlunxin, Hygon, and more

Detailed Introduction

FastDeploy is a high-performance, production-grade inference and deployment toolkit built on PaddlePaddle, specifically designed for Large Language Models (LLMs) and Vision-Language Models (VLMs). It addresses the complexities of deploying large AI models by offering advanced features like load-balanced PD decomposition, unified KV cache management, and a wide array of quantization methods. With support for various hardware platforms and compatibility with OpenAI API and vLLM interfaces, FastDeploy streamlines the process of bringing cutting-edge AI models into production environments, ensuring efficiency and scalability.