docs: full English model card from Index-Translate technical report
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README.md
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license:
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tags:
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- translation
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- index
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---
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# Index-
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---
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license: apache-2.0
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tags:
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- translation
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- index
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---
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# Index-Translate-9B
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[](https://index-translate.bilibili.com/)
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[](https://github.com/bilibili/Index-Translate)
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[](https://github.com/bilibili/Index-Translate/blob/main/LICENSE)
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**Index-Translate-9B** is the 9B-parameter multilingual text translation model of the **Index-Translate** family, built on the Qwen3.5 backbone. It supports **148 languages** with multilingual instruction following — terminology, formatting, style, structure, and output-length constraints — and achieves translation quality comparable to 100B-scale translation models and frontier LLMs on the family's evaluation suite. It powers the [online demo](https://index-translate.bilibili.com/).
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> 📄 Technical report: *Index-Translate: A Multilingual Translation Model Family — Text, Speech, Controlled Dubbing, and Long-Document Translation* (Index LLM Team, September 2026)
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>
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> 💻 Code, quickstarts, browser extension & video-dubbing pipeline: [github.com/bilibili/Index-Translate](https://github.com/bilibili/Index-Translate)
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## Highlights
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- **148 languages** with instruction following: general translation, constrained translation (terminology, structure, style, context), and meme/internet-culture translation in a single checkpoint.
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- **Best instTrans instruction-following score (IFscore 0.8209) among all compared models**, while remaining competitive on general translation.
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- **Training recipe**: multilingual mid-training (general + monolingual + parallel + pivot-organized data) → specialist SFT (general / instruction / meme experts) → RL with judged rewards (GRPO; XCOMET-XXL + adequacy gates for general translation, Rubric-as-Reward for instruction following) under RIVAL adversarial judge supervision → **parameter interpolation** (model soup, general : instruction : meme = 0.8 : 0.1 : 0.1) → targeted **multi-teacher on-policy distillation (MOPD)**.
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- **262,144-token context window**, greedy decoding recommended.
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- Smaller sibling: [IndexTeam/Index-Translate-2B](https://huggingface.co/IndexTeam/Index-Translate-2B).
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## Benchmarks
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Text translation (Table 4 of the report; WMT26 judge on a 0–100 scale, others 0–1):
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| Model | FLORES COMET-22 | WMT24++ COMET-22 | WMT26 Judge | instTrans IFscore | IFMTBench IFscore | Vertical mean | MEME |
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| **Index-Translate-9B** | **0.8789** | 0.8601 | 75.35 | **0.8209** | 0.8760 | 0.8451 | **0.7387** |
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| Index-Translate-2B | 0.8655 | 0.8489 | 60.26 | 0.7569 | 0.7584 | 0.8377 | 0.6443 |
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| Hy-MT2-7B | 0.8747 | 0.8593 | 60.51 | 0.6079 | 0.8741 | 0.8335 | 0.5139 |
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| Hy-MT2-30B-A3B | 0.8787 | **0.8624** | 66.81 | 0.6415 | 0.9029 | **0.8459** | 0.5812 |
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| North-Small-Translate (218B-A25B) | 0.8784 | 0.8578 | 68.37 | 0.5294 | 0.8635 | 0.8357 | 0.6836 |
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| DeepSeek-V4.1-Flash | 0.8762 | 0.8510 | 83.55 | 0.6374 | 0.9090 | 0.8432 | 0.7424 |
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| GPT-5.6-Sol | 0.8650 | 0.8469 | **89.10** | 0.7624 | **0.9367** | 0.8311 | 0.7194 |
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| Qwen3.5-9B (base) | 0.8316 | 0.8073 | 60.31 | 0.0609 | 0.5980 | 0.8199 | 0.5728 |
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Vertical-domain translation (COMET-22; GuoFeng uses document-COMET) — Index-Translate-9B leads the compared models on MuST-Cinema:
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| Model | OPUS-Books | Biomedical | MTNT | MuST-Cinema | GuoFeng |
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| **Index-Translate-9B** | 0.8010 | 0.8674 | 0.8246 | **0.8979** | **0.8345** |
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| Index-Translate-2B | 0.7845 | 0.8635 | 0.8132 | 0.8930 | **0.8345** |
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General capabilities (answer accuracy %) — exceeds Hy-MT2-7B on all four benchmarks:
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| Model | C-Eval | GPQA-Diamond | INCLUDE | MMMLU |
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| **Index-Translate-9B** | 69.6 | 36.3 | 63.1 | 66.6 |
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| Hy-MT2-7B | 57.4 | 30.5 | 50.3 | 52.3 |
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| Qwen3.5-9B (base) | 86.6 | 75.8 | 70.2 | 75.9 |
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## Usage
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```bash
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vllm serve IndexTeam/Index-Translate-9B --served-model-name Index-Translate-9B --port 8000
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```
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```python
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from openai import OpenAI
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client = OpenAI(base_url="http://localhost:8000/v1", api_key="EMPTY")
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resp = client.chat.completions.create(
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model="Index-Translate-9B",
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messages=[{"role": "user", "content": "Translate the following text into English:\n\n你好,世界!"}],
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temperature=0,
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)
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print(resp.choices[0].message.content)
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```
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Transformers and SGLang quickstarts: [inference/llm](https://github.com/bilibili/Index-Translate/tree/main/inference/llm).
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## Model family
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| Model | Sizes | Task |
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| **Index-Translate** | [2B](https://huggingface.co/IndexTeam/Index-Translate-2B) / [9B](https://huggingface.co/IndexTeam/Index-Translate-9B) | Multilingual text translation & translation instructions |
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| Index-Echo S2TT | [2B](https://huggingface.co/IndexTeam/Index-Echo-S2TT-2B) / [9B](https://huggingface.co/IndexTeam/Index-Echo-S2TT-9B) | Speech-to-text translation |
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| Index-Echo S2ST | [2B](https://huggingface.co/IndexTeam/Index-Echo-S2ST-2B) / [9B](https://huggingface.co/IndexTeam/Index-Echo-S2ST-9B) | Speech-to-speech translation with voice conditioning |
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| Index-Homura | [2B](https://huggingface.co/IndexTeam/Index-Homura-2B) / [9B](https://huggingface.co/IndexTeam/Index-Homura-9B) | Syllable-controlled translation (dubbing) |
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| Index-NaitiveLong (NaiLong) | [2B](https://huggingface.co/IndexTeam/Index-Nailong-2B) / [9B](https://huggingface.co/IndexTeam/Index-Nailong-9B) | Long-document translation |
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## Citation
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```bibtex
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@techreport{indextranslate2026,
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title={Index-Translate: A Multilingual Translation Model Family --- Text, Speech, Controlled Dubbing, and Long-Document Translation},
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author={Index LLM Team},
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year={2026},
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month={September}
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}
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```
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## License
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Apache-2.0.
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