模型介绍
中文整理Alibaba International Digital Commerce
Marco-MT-Algharb
This repository contains the system for Algharb, the submission from the Marco Translation Team of Alibaba International Digital Commerce (AIDC) to the WMT 2025 General Machine Translation Shared Task.
Introduction
The Algharb system is a large translation model built based on the Qwen3-14B foundation. It is designed for high-quality translation across 13 diverse language directions and demonstrates state-of-the-art performance. Our approach is centered on a multi-stage refinement pipeline that systematically enhances translation fluency and faithfulness.
Supported language pairs:
Languages pair Chinese Names
- -- ---
en2zh 英语到中文
en2ja 英语到日语
en2ko 英语到韩语
en2ar 英语到阿拉伯语
en2et 英语到爱沙尼亚语
en2sr latin 英语到塞尔维亚语(拉丁化)
en2ru 英语到俄语
en2uk 英语到乌克兰语
en2cs 英语到捷克语
en2bho 英语到博杰普尔语
cs2uk 捷克语到乌克兰语
cs2de 捷克语到德语
ja2zh 日语到中文
Usage
The model expects a specific instruction format for translation. The following example demonstrates how to construct the prompt and perform generation using the vllm library for efficient inference.
- Dependencies
First, ensure you have the necessary libraries installed:
- Prompt Format and Decoding
The core of the process involves formatting the input text into a specific prompt template and then using the vllm engine to generate translations. For our hybrid decoding strategy, we generate multiple candidates (n > 1) for later re-ranking.
The prompt template is:
Here is a complete Python example:
Apply MBR decoding
First, run random sample decoding:
Then, run MBR decoding:
Note: Word alignment for MBR reranking will be available soon.
License
This model is licensed under Apache License Version 2 (https://www.apache.org/licenses/LICENSE-2.0.txt, SPDX-License-identifier: Apache-2.0).
Disclaimer
We used compliance checking algorithms during the training process, to ensure the compliance of the trained model(s) to the best of our ability. Due to complex data and the diversity of language model usage scenarios, we cannot guarantee that the model is completely free of copyright issues or improper content. If you believe anything infringes on your rights or generates improper content, please contact us, and we will promptly address the matter.
优先采用原作者提供的中文模型卡片；仅有英文说明时由闲社AI翻译整理。重要参数、许可证和商用范围请以原文为准。
你将获得什么
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完整仓库可能包含多个权重格式，因此需要的磁盘空间可能大于单一格式的模型大小。下载文件不等于完成模型部署。
使用前须知
运行模型需要的设备、工具与依赖，以原作者说明为准。
是否允许商用、修改和分发，请查看模型许可证。
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