# Multilingual translation

WiNGPT-Babel-2 is a language model optimized for multilingual translation tasks, supporting translation in 55 languages. It has been specifically optimized for Chinese translation and structured data processing capabilities.

Shuttle-3.5 is a fine-tuned version based on Qwen3 32b, simulating the writing style of Claude 3 model and comprehensively trained on role-playing data.

Llama-Krikri-8B-Instruct is a Greek instruction-tuned large language model developed by the Athena Research Center, based on Llama-3.1-8B, with enhanced multitasking capabilities in Greek and English.

Quantized version of EraX-Translator-V1.0, supporting multilingual translation, especially suitable for low-resource environments and translations involving Classical Chinese and Buddhist scriptures.

GaMS-27B-Instruct is a multilingual large language model improved based on Google's Gemma 2 series, specifically optimized for languages in the Balkan Peninsula such as Slovenian.

Soundwave is a groundbreaking speech-to-text model that bridges the gap between speech and text, demonstrating exceptional performance in speech translation and AIR-Bench speech tasks with just 10,000 hours of training data.

A Greek instruction-tuned large language model based on Llama-3.1-8B, enhancing Greek language capabilities and supporting multilingual tasks

This model is a fine-tuned multilingual translation model based on NLLB-200-distilled-600M, specifically optimized for bidirectional translation between Wolof, French, and English.

Marco-o1 is an open reasoning model focused on open-ended solutions, enhancing complex problem-solving capabilities through chain-of-thought fine-tuning, Monte Carlo tree search, and reflection mechanisms.

Italia 9B is an open-source large language model developed by iGenius, specifically designed for the Italian language. It understands the linguistic and cultural nuances of Italian and also performs excellently in English and translation tasks.

A multilingual machine translation model based on NLLB-200-1.3B, supporting translation between English and 5 African languages

TowerInstruct-13B is a 13-billion-parameter language model fine-tuned from the TowerBase model on the TowerBlocks supervised fine-tuning dataset, specifically designed for handling various translation-related tasks.

TowerInstruct-7B-v0.2 is a 7-billion-parameter multilingual large language model focused on translation-related tasks, supporting 10 languages.

This is a multilingual machine translation model based on the T5 architecture, supporting translation between English, Russian, and Chinese.

A multilingual translation model based on the T5 architecture, supporting bidirectional translation between Russian, Chinese, and English

A multilingual translation model based on T5 architecture, supporting bidirectional translation between Russian, Chinese, and English

TowerInstruct-7B is a language model obtained by fine-tuning TowerBase on the TowerBlocks supervised fine-tuning dataset, specifically designed to handle various translation-related tasks.

A multilingual machine translation model fine-tuned based on Llama-2-13B, supporting translation from English to 49 languages

Multilingual translation model fine-tuned on the WMT16 dataset, supporting Russian to English translation tasks

A general-purpose model supporting over 150 languages, suitable for various natural language processing tasks

An English-Hindi translation model fine-tuned on the opus100 dataset based on t5-small

A bidirectional English-Hebrew translation model fine-tuned based on the T5-small architecture, trained on the OPUS100 dataset

This model is a generative model trained on the xtreme_s dataset, but its specific purpose and functionality are not clearly stated

This is a neural machine translation model for translating from English to Catalan, Occitan, and Spanish, part of the OPUS-MT project.

A 4.7 billion parameter multilingual encoder-decoder model supporting translation from 7 languages to English

This is a Dutch-to-French machine translation model based on the Transformer architecture, developed by the Helsinki-NLP team and trained using the OPUS dataset.

This is a Transformer model supporting mutual translation among multiple Germanic languages, developed by the Helsinki-NLP team.

This is a machine translation model based on the Transformer architecture, supporting translation tasks from English to various Portuguese-based Creoles and Pidgin languages.

This is a multilingual translation model that supports translation from various Mon-Khmer languages (including Vietnamese, Khmer, etc.) to English.

This is a Transformer-based neural machine translation model from English to multiple languages, supporting translation tasks for over 100 target languages.

This is a multilingual translation model based on Transformer architecture, supporting translation from various North Germanic languages (including Danish, Norwegian Bokmål, Swedish, etc.) to English.

A Transformer model supporting translation between 136 Indo-European languages, trained by Helsinki-NLP team using OPUS multilingual data

This is a multilingual translation model based on the Transformer architecture, supporting translation tasks from English to various Romance languages.

This is a multilingual machine translation model based on the Transformer architecture, supporting translation tasks from English to various Mon-Khmer languages.

Supports bidirectional translation among 18 West Germanic languages, a machine translation model based on Transformer architecture

This is a French-to-Catalan machine translation model based on the transformer-align architecture, released by the Tatoeba-Challenge project.

This is a multilingual translation model based on Transformer architecture, supporting translation tasks from English to 35 Malayo-Polynesian languages.

This is a machine translation model from Esperanto to Portuguese based on the transformer-align architecture, released by Helsinki-NLP.

This is a Transformer-based multilingual translation model that supports translation tasks from Baltic languages (including Latvian, Lithuanian, etc.) to English.

This is a Russian-to-Hebrew machine translation model based on the Transformer architecture, developed by the Helsinki-NLP team.