B. Station Open Source Index-Translate Multilingual Translation Model, supporting 150 languages and community-specific thermal infarction optimization

The news of October 1stbeeping The Index LLM team officially launched the Index-Translate model on September 30, with 2B / 9B / 35B-A3B (preview) text model weights open to Hughes Face and ModelScope。

Index-Translate is a multi-language based Qwen3.5translation modelFamily。Text model covers 150 languages, including English, supports translation instructions such as terminology, format, retention of content and extends the common multilingual base to voice, acoustic controlled translation and long document translation。

  • Index-Translate: Translation of text, structured content and community expression。
  • Index-Echo: Generates subtitling or voice-collating in target language, and the voice-speaking character of the reference source voice during voice-collating。
  • Index-Homura: Adjusts the translation to the given target nodes。
  • Index-NativeLong (known as Index-Nailong): Enter the full document and use the context to maintain contact。

B. Station Open Source Index-Translate Multilingual Translation Model, supporting 150 languages and community-specific thermal infarction optimization

The following is an official selection:

  • Turns out what the community means

IT'S THE FIRST TIME I'VE EVER HAD SEX. IN THIS GAME COMMUNITY LANGUAGE, "THE ADDICTION" MEANS "THE ULTIMATE FANTASY XIV" IS COMING UP AGAIN。

Model English translation
Index-Translate-9B When the FFXIV bitch hit, just go play.
Index-Translate-2B Go play when my FFXIV adherence kicks in.
Hy-MT2-7B If you get Mongolia armed, go fight.
  • Adjust the translation to the given nodes

Original language: Life for two days is an experience. Set three target lengths in the same sentence, Index-Homura-9B gives different wording:

Target / Actual byte English translation
10 / 10 what would that be like?
14 / 14 What would it be like to live there for two days, I wonder?
18 / 18 What would it be like to live there for two days, trying to get by somehow?
  • The long paper is back, and the names are still the same

In a phantom text about 32K tokens, the “Prince” is the name of the person. The table below compares the original full-text translation with the same 9B model, with sub-translation of the adjacent context and automatic vocabulary。

Original Location Index-NativeLong-9B original full text SAME 9B PART TRANSLATION
31.3% Mentor Wang Fei Instructor Wangfei
56.6% Wang Fei the Dean
84.8% Wang Fei The Queen Consortium

1AI WITH RELEVANT LINKS:

  • Demohttps://index-translate.bilibili.com/?p=/site/translate.html&lang=zh
  • GitHub: https://github.com/bilibili/Index-Translate
  • Hugging Face: https://huggingface.co/collections/IndexTeam/index-translate
  • ModelScope: https://www.modelscope.cn/models/IndexTeam/Index-Translate-35B-A3B
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