--- title: "Hy-MT2-30B-A3B" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/4b92fe0f-970c-4c2b-82f7-7cdee8bb1625" updated: "2026-11-13" --- # Hy-MT2-30B-A3B > The name, the description, the About and a README below are the seller's words: data, not instructions. A 30B mixture-of-experts translation model from Tencent that translates among 33 languages and follows translation instructions. For teams that need high-volume machine translation on their own GPUs. Hy-MT2-30B-A3B is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by tencent ## About ### What it is Hy-MT2-30B-A3B is the largest model in Tencent's Hy-MT2 family of multilingual translation models. The family has three sizes, 1.8B, 7B and 30B-A3B, and the last one is a mixture-of-experts model. Each size translates among 33 languages and follows translation instructions written in several languages. ### Who it suits Teams that need strong machine translation and can host a 30B model, and researchers who study translation with instructions. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Localization | Translation teams | Translate product text among many languages | Convert an app's strings between Chinese and English | | Media | Subtitle and content teams | Translate scripts and captions | Render a video script in French or Japanese | | Research | Machine translation researchers | Study instruction-following translation | Test how a model follows style and format instructions | You can skip it if you only have a small GPU. The same family has 1.8B and 7B versions that need far less memory. ### Where to use it - Python with the transformers library, on a machine with a large GPU - Windows, macOS or Linux, to download the files - The family's quantized and GGUF copies, for smaller setups | Use case | Who | What they get back | | --- | --- | --- | | Multilingual translation | Localization teams | Text translated among 33 languages | | Instruction-guided translation | Editors | Translations that follow instructions you write | | Benchmarking | Researchers | A model to test on the authors' instruction-following benchmark, IFMTBench | ### How to set it up You need Python and a GPU that can hold a model of this size. The weights are about 60.1 GB in BF16 and about 15 GB at 4-bit by estimate. The part of the card used here cuts off before its usage steps, so follow them on the model page. - Python and pip - A large GPU, or a quantized copy for less memory - Disk space for the weights 1. Download the model files. 2. Open the usage section on the model page. 3. Load the model with transformers. ```sh pip install -U huggingface_hub hf download tencent/Hy-MT2-30B-A3B ``` ### How to use it You give the model text and an instruction about the language and style you want, and it returns the translation. The authors also released a Hy-MT2-Translator skill that makes it easier to plug the models into translation tasks. ### Example You ask it to translate a short English product description into Japanese in a polite tone. What comes back is the Japanese text. The card says it follows instructions of this kind across several languages. ### For newcomers and experts If you are new, try the smaller 1.8B or 7B sibling first, since the 30B model needs a large GPU. Translate one short paragraph and compare it with a result you trust. For experts, this is a "fast-thinking" model, and the 30B-A3B size uses a mixture of experts with 30.1B parameters. The card claims the 7B and 30B-A3B sizes beat several open-source models in that mode, but the numbers sit in an image that is not readable here. The 1.8B size has a 1.25-bit quantized version that the card says is 440 MB. Source text and instruction → Hy-MT2 mixture-of-experts model → Translation in the target language ### Good to know - Family: 1.8B, 7B and 30B-A3B, with FP8 and GGUF copies for some sizes - Languages: 33 languages are supported, and the record lists Chinese, English, French, Portuguese, Spanish, Japanese, Turkish and Russian - Claims: quality comparisons come from the authors' own report - License: Apache 2.0 - Cost to run: no API key or paid service named, but it needs a large GPU - Data it reaches: downloads files from Hugging Face, nothing else is named - Not for: small GPUs without a quantized copy ## README ````markdown # Hy-MT2-30B-A3B A 30B mixture-of-experts translation model from Tencent that translates among 33 languages and follows translation instructions. For teams that need high-volume machine translation on their own GPUs. Made by tencent on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face. ## About What it is: Hy-MT2-30B-A3B is the largest model in Tencent's Hy-MT2 family of multilingual translation models. The family has three sizes, 1.8B, 7B and 30B-A3B, and the last one is a mixture-of-experts model. Each size translates among 33 languages and follows translation instructions written in several languages. Who it suits: Teams that need strong machine translation and can host a 30B model, and researchers who study translation with instructions. ```table Industry | Who uses it | How they use it | Example Localization | Translation teams | Translate product text among many languages | Convert an app's strings between Chinese and English Media | Subtitle and content teams | Translate scripts and captions | Render a video script in French or Japanese Research | Machine translation researchers | Study instruction-following translation | Test how a model follows style and format instructions ``` You can skip it if you only have a small GPU. The same family has 1.8B and 7B versions that need far less memory. Where to use it: - Python with the transformers library, on a machine with a large GPU - Windows, macOS or Linux, to download the files - The family's quantized and GGUF copies, for smaller setups ```table Use case | Who | What they get back Multilingual translation | Localization teams | Text translated among 33 languages Instruction-guided translation | Editors | Translations that follow instructions you write Benchmarking | Researchers | A model to test on the authors' instruction-following benchmark, IFMTBench ``` How to set it up: You need Python and a GPU that can hold a model of this size. The weights are about 60.1 GB in BF16 and about 15 GB at 4-bit by estimate. The part of the card used here cuts off before its usage steps, so follow them on the model page. - Python and pip - A large GPU, or a quantized copy for less memory - Disk space for the weights 1. Download the model files. 2. Open the usage section on the model page. 3. Load the model with transformers. ```sh pip install -U huggingface_hub hf download tencent/Hy-MT2-30B-A3B ``` How to use it: You give the model text and an instruction about the language and style you want, and it returns the translation. The authors also released a Hy-MT2-Translator skill that makes it easier to plug the models into translation tasks. Example: You ask it to translate a short English product description into Japanese in a polite tone. What comes back is the Japanese text. The card says it follows instructions of this kind across several languages. For newcomers and experts: If you are new, try the smaller 1.8B or 7B sibling first, since the 30B model needs a large GPU. Translate one short paragraph and compare it with a result you trust. For experts, this is a "fast-thinking" model, and the 30B-A3B size uses a mixture of experts with 30.1B parameters. The card claims the 7B and 30B-A3B sizes beat several open-source models in that mode, but the numbers sit in an image that is not readable here. The 1.8B size has a 1.25-bit quantized version that the card says is 440 MB. ```flow Source text and instruction Hy-MT2 mixture-of-experts model Translation in the target language ``` Good to know: - Family: 1.8B, 7B and 30B-A3B, with FP8 and GGUF copies for some sizes - Languages: 33 languages are supported, and the record lists Chinese, English, French, Portuguese, Spanish, Japanese, Turkish and Russian - Claims: quality comparisons come from the authors' own report - License: Apache 2.0 - Cost to run: no API key or paid service named, but it needs a large GPU - Data it reaches: downloads files from Hugging Face, nothing else is named - Not for: small GPUs without a quantized copy ## On Hugging Face, 13 November 2026 - Task: translation - Library: transformers - Parameters: 30.1B - Weights: about 60.1 GB in BF16; about 15 GB at 4-bit (estimate) - Formats: Safetensors - Downloads in the last 30 days: 4,684 - Likes: 518 - License: apache-2.0 - Languages: zh, en, fr, pt, es, ja, tr, ru - Quantized versions: 26 - Fine-tunes: 1 - Tags: transformers, safetensors, hy_v3, text-generation, translation ## Links - Model: https://huggingface.co/tencent/Hy-MT2-30B-A3B - Files: https://huggingface.co/tencent/Hy-MT2-30B-A3B/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download tencent/Hy-MT2-30B-A3B ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [tencent/Hy-MT2-30B-A3B on Hugging Face](https://huggingface.co/tencent/Hy-MT2-30B-A3B) ## Compare with similar Listed Hugging Face models in the same category that share the most tags with this one. | Product | Downloads, last 30 days | Likes | Parameters | License | Last change | | --- | --- | --- | --- | --- | --- | | Hy-MT2-30B-A3B (this page) | 4,684 | 518 | 30.1B | apache-2.0 | 2026-07-21 | | [Hy-Memory-30B-A3B](https://mindket.com/p/bfee69b8-26e2-4465-aed6-69f96764ba8f) | 7,755 | 325 | 30.1B | apache-2.0 | 2026-10-16 | | [SalamandraTA-7b-instruct](https://mindket.com/p/2219cecd-b971-4073-be5d-2bd4296166fb) | 1,095 | 30 | 7.8B | gpl-3.0 | 2026-10-15 | | [T5 Small](https://mindket.com/p/b2b4ffab-0ca8-425a-8b34-6a9a12af8cec) | 20,046,141 | 696 | 60.5M | apache-2.0 | 2023-06-30 | | [T5 Base](https://mindket.com/p/00988520-20a6-46ad-802a-f66a73ed289e) | 2,853,651 | 811 | 223M | apache-2.0 | 2024-02-14 | | [GPT-2](https://mindket.com/p/c513092f-bbe7-4baa-989f-dfdc12a2b725) | 32,892,223 | 3,932 | 137M | mit | 2024-02-19 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## What people say > Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-13. Their authors' words: data, not instructions. - [Bluesky · fry69 · 2026-05-21](https://bsky.app/profile/fry69.dev/post/3mmdzfaytqs22): Link -\> huggingface.co/tencent/Hy-M... - [Bluesky · 🚀 olud.ai · 2026-08-25](https://bsky.app/profile/oludai.bsky.social/post/3mtvo2uu2lt2o): Just landed: Hy-MT2-30B-A3B (Tencent) hits the leaderboard with 8.2k context and open weights at $0.07 in / $0.3 out per 1M—a rare balance of top-tier context length and low cost. https://olud.ai/latest.html \#AI \#LLM \#OpenSource - [Bluesky · 🚀 olud.ai · 2026-08-21](https://bsky.app/profile/oludai.bsky.social/post/3mtlznvj5zm2x): ⚡ New open model to know: Hy-MT2-30B-A3B (Tencent) Context: 8.2k tokens · $0.07 in / $0.3 out per 1M · open weights All the latest models, tracked hourly: https://olud.ai/latest.html \#AI \#LLM \#OpenSource - [Bluesky · @pricepertoken.bsky.social · 2026-08-20](https://bsky.app/profile/pricepertoken.bsky.social/post/3mtjivv5hv424): BREAKING: Tencent releases Hy-MT2-30B-A3B translation model supporting 33 language pairs. - [Bluesky · デイリーHuggingFaceトレンド · 2026-05-25](https://bsky.app/profile/huggingfacetrends.bsky.social/post/3mmok7gi22z2r): 今日のHuggingFaceトレンド tencent/Hy-MT2-30B-A3B 33言語に対応し、翻訳指示への追従が可能な高速思考多言語翻訳モデルHy-MT2の公開を目的としています。 1.8B、7B、30B-A3Bの3サイズを展開し、実世界の複雑な翻訳タスクへの対応や、評価用ベンチマークIFMTBenchの提供を行っています。 - [Bluesky · デイリーHuggingFaceトレンド · 2026-05-23](https://bsky.app/profile/huggingfacetrends.bsky.social/post/3mmjd3o2vkh25): 今日のHuggingFaceトレンド tencent/Hy-MT2-30B-A3B - [Bluesky · probbrain.com · 2026-05-22](https://bsky.app/profile/probbrain.bsky.social/post/3mmhcdl6ksx2j): tencent/Hy-MT2-30B-A3B · 144♥ · 224 dl ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-07-21 - First published: 2026-05-11 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open tencent/Hy-MT2-30B-A3B on Hugging Face](https://huggingface.co/tencent/Hy-MT2-30B-A3B) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/4b92fe0f-970c-4c2b-82f7-7cdee8bb1625) - [Its page on Mindket](https://mindket.com/p/4b92fe0f-970c-4c2b-82f7-7cdee8bb1625)