# Multilingual large model

Qwen3-1.7B-Base is the latest generation of large language models in the Tongyi series, offering a range of dense models and mixture-of-experts (MoE) models. It has made significant improvements in training data, model architecture, and optimization techniques.

Qwen3-0.6B-Base is the latest generation of large language models in the Tongyi series. It has a parameter scale of 0.6B, supports 119 languages, and has a context length of up to 32,768 tokens.

Qwen3-0.6B-Base is the latest generation of large language models in the Tongyi Qianwen series, offering a range of dense models and Mixture of Experts (MoE) models.

A quantized and optimized model based on the Meta-Llama-3.1 architecture, supporting multiple languages, suitable for business and research scenarios, while reducing resource requirements and maintaining high performance.

LLaMAX is a language model with strong multilingual capabilities, supporting translation in over 100 languages and outperforming large language models of the same scale in terms of performance.

Hebrew-Gemma-11B-V2 is an open-source Hebrew/English pre-trained generative text large language model with 11 billion parameters, based on Google's Gemma-7B architecture.

Typhoon-0219 is a Thai instruction-fine-tuned large language model based on Typhoon 7B, with 7 billion parameters, supporting Thai and English, specifically optimized for instruction response.

A multilingual Korean text generation model fine-tuned on the Korean Alpaca dataset v1.1b based on EleutherAI/polyglot-ko-12.8b