# Long context understanding

The Qwen3 Embedding model series is the latest self-developed model of the Tongyi family, designed specifically for text embedding and ranking tasks, supporting more than 100 languages, and ranking first on the MTEB multilingual leaderboard.

Qwen3-8B-Base is the latest generation of Tongyi's large model series, with 8.2 billion parameters and support for 119 languages. It is suitable for a variety of natural language processing tasks.

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 complete Chinese LLaMA-2-13B-16K model that supports a 16K context length and can be directly loaded for inference and full-parameter training