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---
base_model:
- sarvamai/sarvam-translate
license: gpl-3.0
tags:
- gemma3
- indic
- onnx
- onnxruntime-genai
- sarvam
- text-generation-inference
- transformers
- translation
language:
- as
- bn
- brx
- doi
- gom
- gu
- en
- hi
- kn
- ks
- mai
- ml
- mni
- mr
- ne
- or
- pa
- sa
- sat
- sd
- ta
- te
- ur
base_model_relation: quantized
---

# Uploaded  model

- **Converted by:** Prince-1
- **License:** gpl-3.0
- **Original model :** sarvamai/sarvam-translate

# Sarvam-Translate
<p align="center">
  <a href="https://dashboard.sarvam.ai/translate"
     target="_blank" rel="noopener noreferrer">
    <img
      src="https://img.shields.io/badge/🚀 Try on Sarvam&nbsp;Playground-1488CC?style=for-the-badge&logo=rocket"
      alt="Try on Sarvam Playground"
    />
  </a>
</p>
Sarvam-Translate is an advanced translation model from Sarvam AI, specifically designed for comprehensive, document-level translation across the 22 official Indian languages, built on Gemma3-4B-IT. It addresses modern translation needs by moving beyond isolated sentences to handle long-context inputs, diverse content types, and various formats. Sarvam-Translate aims to provide high-quality, contextually aware translations for Indian languages, which have traditionally lagged behind high-resource languages in LLM performance.

Learn more about Sarvam-Translate in our detailed [blog post](https://www.sarvam.ai/blogs/sarvam-translate).

## Key Features
- **Comprehensive Indian Language Support**: Focus on the 22 official Indian languages, ensuring nuanced and accurate translations.
- **Advanced Document-Level Translation**: Translates entire documents, web pages, speeches, textbooks, and scientific articles, not just isolated sentences.
- **Versatile Format Handling**: Processes a wide array of input formats, including markdown, digitized content (handling OCR errors), documents with embedded math and chemistry equations, and code files (translating only comments).
- **Context-Aware & Inclusive**: Engineered to respect different contexts, formats, styles (formal/informal), and ensure inclusivity (e.g., appropriate gender attribution).

## Supported languages list

`Assamese`, `Bengali`, `Bodo`, `Dogri`, `Gujarati`, `English`, `Hindi`, `Kannada`, `Kashmiri`, `Konkani`, `Maithili`, `Malayalam`, `Manipuri`, `Marathi`, `Nepali`, `Odia`, `Punjabi`, `Sanskrit`, `Santali`, `Sindhi`, `Tamil`, `Telugu`, `Urdu`

## Covertion 
The onnx model is created using [onnxruntime-genai](https://github.com/microsoft/onnxruntime-genai)