Hunyuan-MT-7B

Tencent-Hunyuan/Hunyuan-MT-7B

PublisherTencent-Hunyuan

Download access requirementsModelScope source

🤗 Hugging Face       ModelScope      🖥️ Official Website     

Text Processing

View all download instructions Mirror repository documentation and license ↗

Model details

模型介绍

中文整理

🤗 Hugging Face     

 ModelScope     

🖥️ Official Website     

🕹️ Demo    

GITHUB

模型介绍

混元翻译模型，包含一个翻译模型Hunyuan-MT-7B和一个集成模型Hunyuan-MT-Chimera。翻译模型用来将待翻译的文本翻译成目标语言，集成模型用来把翻译模型的多个翻译结果集成为一个更好的翻译。重点支持33语种互译，支持5种民汉语言。

核心特性与优势

WMT25参赛31语种之中30语种获得第一名的成绩。

Hunyuan-MT-7B尺寸业界效果最优

Hunyuan-MT-Chimera-7B是业界首个开源翻译集成模型，可以将翻译效果再拉高一个档次

提出了一个完整的翻译模型训练范式，从Pretrain->CPT->SFT->翻译强化->集成强化，翻译效果达到同尺寸SOTA。

新闻

9.1 我们在Hugging Face开源了 **Hunyuan-MT-7B** , **Hunyuan-MT-Chimera-7B**。

模型链接

Model Name Description Download

---------- ----------- -----------

Hunyuan-MT-7B 混元7B翻译模型 🤗 Model

Hunyuan-MT-7B-fp8 混元7B翻译模型，fp8量化 🤗 Model

Hunyuan-MT-Chimera 混元7B翻译集成模型 🤗 Model

Hunyuan-MT-Chimera-fp8 混元7B翻译集成模型，fp8量化 🤗 Model

Prompts

Prompt Template for ZHXX Translation.

把下面的文本翻译成，不要额外解释。

Prompt Template for XXXX Translation, excluding ZHXX.

Translate the following segment into , without additional explanation.

Prompt Template for Hunyuan-MT-Chmeria-7B

Analyze the following multiple translations of the segment surrounded in triple backticks and generate a single refined translation. Only output the refined translation, do not explain.

The segment:

The multiple translations:

使用 transformers 推理

首先，需要安装最新版本的transformers，推荐v4.56.0

以下代码片段展示了如何使用 transformers 库加载和使用模型。

!!! If you want to load fp8 model with transformers, you need to change the name"ignored layers" in config.json to "ignore" and upgrade the compressed-tensors to compressed-tensors-0.11.0.*

Supported languages:

Languages Abbr. Chinese Names

------------------ --------- -----------------

Chinese zh 中文

English en 英语

French fr 法语

Portuguese pt 葡萄牙语

Spanish es 西班牙语

Japanese ja 日语

Turkish tr 土耳其语

Russian ru 俄语

Arabic ar 阿拉伯语

Korean ko 韩语

Thai th 泰语

Italian it 意大利语

German de 德语

Vietnamese vi 越南语

Malay ms 马来语

Indonesian id 印尼语

Filipino tl 菲律宾语

Hindi hi 印地语

Traditional Chinese zh-Hant 繁体中文

Polish pl 波兰语

Czech cs 捷克语

Dutch nl 荷兰语

Khmer km 高棉语

Burmese my 缅甸语

Persian fa 波斯语

Gujarati gu 古吉拉特语

Urdu ur 乌尔都语

Telugu te 泰卢固语

Marathi mr 马拉地语

Hebrew he 希伯来语

Bengali bn 孟加拉语

Tamil ta 泰米尔语

Ukrainian uk 乌克兰语

Tibetan bo 藏语

Kazakh kk 哈萨克语

Mongolian mn 蒙古语

Uyghur ug 维吾尔语

Cantonese yue 粤语

Citing Hunyuan-MT:

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

完整仓库方式包含该固定版本中的权重、配置、分词器及说明文件；指定版本方式只下载所选文件或整组分片。多模态模型的投影文件、配置等依赖，请按作者说明配齐。

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

运行环境

运行模型需要的设备、工具与依赖，以原作者说明为准。

授权范围

是否允许商用、修改和分发，请查看模型许可证。

闲社提供资料与镜像下载方法，不代表已运行模型或完成安全审计。下载的代码应先检查，再执行。

Problem with the information or download?

Pinned version · Multiple download options

Hunyuan-MT-7B model download

Download the full repository or choose a version or file.

许可待确认

下载入口不代表获得修改、分发或商用授权。使用前请查阅原仓库说明、LICENSE 或联系作者确认；闲社未验证模型运行效果。

查看原作者说明与许可 →

Download tools · More than GGUF

Use the Hugging Face download tool to obtain Tencent-Hunyuan/Hunyuan-MT-7B. Download Safetensors, GGUF, ONNX, configuration and other repository files. Downloading does not mean the tool can run this model.

Pinned-version file information is being completed. Existing downloads remain available, or load the file manifest below.

Choose a mirror or official source, your operating system and download scope below, then copy the command. Install the download tool first if needed.

Pinned version: b5c787a019d747a2a88bf1901808c9edbd3bbf6e. Downloads files only; does not start the model.

Choose a download source

Pinned ModelScope version: b5c787a019d747a2a88bf1901808c9edbd3bbf6e. Version identifiers can differ across sites. The alternative source was provided after checking weights and runtime configuration; this is not proof of a successful model run.

A checked, pinned ModelScope source is available for this model. Use the ModelScope download tool.

Choose what to download

Need just one GGUF precision? Load the file manifest and choose a version. Direct file links do not require Python; the command below can download multiple shards together.

Quantization / file

This reads the pinned version's file manifest; no model weights are downloaded.

Choose your operating system

For command-line downloads, follow these steps to get the full repository or selected files. Direct file links do not need these steps.

Open a terminal window

Create and open a folder for the model. In the folder's address bar, enter powershell and press Enter.

If Python is not installed, get it from the official Python website. In the terminal, enter python --version; continue when a version number appears.

First time? Install the download tool

Copy this command, paste it into the terminal, press Enter and wait for installation to finish.

python -m pip install --upgrade huggingface_hub

Already installed? Continue to step 3.

Run the download command

Select the button below, paste into the same terminal and press Enter. The tool downloads all files included in the current command.

Copying does not start a download. Paste and run the command on your device.

Where are the downloaded files?

Open the folder you chose. Look for the models folder. When progress stops and the terminal returns to its prompt without errors, check that all files are present. 'Copied' does not mean 'downloaded'.

No response or an error?

python not found: Install Python and reopen the terminal. On Windows, follow the installer's instructions to enable command-line access.

hf not found: Confirm that step 2 succeeded, then reopen the terminal. If needed, add Python's Scripts folder to your user PATH. Do not repeatedly download scripts.

Network interrupted: Stay in the same folder and run the same command again. The tool checks existing files.

Permission or disk error: Choose a writable folder with enough free space. Do not disable system security protection.

View the full download command

modelscope download --model "Tencent-Hunyuan/Hunyuan-MT-7B" --revision "b5c787a019d747a2a88bf1901808c9edbd3bbf6e" --local_dir "./models/Tencent-Hunyuan--Hunyuan-MT-7B--ms-b5c787a019d7"

Files transfer directly from the source you choose, not through Xianshe servers.

The version is pinned. Repeating the same command checks existing files. Change the source manually if it is slow or unavailable.

Public models do not require submitting keys to Xianshe. Restricted models still require the author's authorization. On Linux / macOS, use python3 instead of python when appropriate.