Description
Index-Translate-2B is a multilingual text model developed by IndexTeam, hosted on Hugging Face. This model is part of the Index-Translate family and is built on the Qwen3.5 framework. It features a compact 2 billion parameter architecture, enabling efficient text translation across 150 languages. The model is particularly adept at handling complex translation instructions, including terminology, formatting, style, structure, context, and output length.
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One of the standout capabilities of Index-Translate-2B is its support for multimodal image translation. This feature allows for end-to-end image-to-text translation across multiple languages without the need for external OCR tools, thanks to its companion visual encoders. The model also excels in general multilingual translation, capable of translating sentences, articles, subtitles, and other text forms.
Index-Translate-2B supports both hard and soft constraints in translation. Hard constraints include strict glossary enforcement, structured data preservation, and code block handling. Soft constraints allow for stylistic tone adaptation and domain-specific context disambiguation. The model is designed to interpret social and cultural nuances, such as community aliases and memes, ensuring translations maintain their intended meanings.
The model's training involved a shared multilingual mid-training recipe, followed by task-specific post-training. This approach ensures high-quality translations and instruction adherence. Evaluation results show that Index-Translate-2B outperforms other models like Hy-MT2-1.8B on key translation metrics.
Index-Translate-2B is ideal for users requiring accurate and context-aware translations across a wide range of languages and formats. Its ability to handle complex instructions and multimodal inputs makes it a versatile tool for various linguistic applications.
- CategoryAI Models & LLMs
- Pricing ModelOpen source
- DeploymentCloud
- PlatformsWeb
Index-Translate-2B Highlights
Multilingual text translation across 150 languages
Multimodal image translation without OCR
Supports hard and soft translation constraints
Terminology and style adaptation
Contextual and cultural translation capabilities
Built on Qwen3.5 framework
2 billion parameter architecture
Outperforms Hy-MT2-1.8B on key metrics
Getting Started with Index-Translate-2B
Access model: Visit Hugging Face
Authenticate: Use API key
Set up environment: Configure settings
Integrate via API: Use provided endpoints
Optimise: Adjust parameters for specific tasks
Index-Translate-2B's Use Cases
- Multilingual Translation
- Image Translation
- Cultural Translation
- Instruction Following
- Terminology Adaptation
