Download CTranslate2 4.6.1 source code.zip (CTranslate2)

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CTranslate2 Overview

Fast inference engine for Transformer models

CTranslate2 is a C++ and Python library for efficient inference with Transformer models. The project implements a custom runtime that applies many performance optimization techniques such as weights quantization, layers fusion, batch reordering, etc., to accelerate and reduce the memory usage of Transformer models on CPU and GPU. The execution is significantly faster and requires less resources than general-purpose deep learning frameworks on supported models and tasks thanks to many advanced optimizations: layer fusion, padding removal, batch reordering, in-place operations, caching mechanism, etc. The model serialization and computation support weights with reduced precision: 16-bit floating points (FP16), 16-bit integers (INT16), and 8-bit integers (INT8). The project supports x86-64 and AArch64/ARM64 processors and integrates multiple backends that are optimized for these platforms: Intel MKL, oneDNN, OpenBLAS, Ruy, and Apple Accelerate.

Additional Details for CTranslate2

Programming Language

C++

Registered

2023-04-21

Last Updated

2026-02-04

Maintainers

sf-editor1

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CTranslate2

Fast inference engine for Transformer models

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Additional Details for CTranslate2

Programming Language

Registered

Last Updated

Categories

Maintainers

Keep Me Updated!