# 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.

Qwen3-30B-A3B-Base is the latest generation of large language models in the Qwen series, with many improvements in training data, model architecture, and optimization techniques, providing more powerful language processing capabilities.

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.

InternVL3-8B is an advanced multimodal large language model with excellent multimodal perception and reasoning capabilities, and performs well in multiple fields such as tool use, GUI agents, and industrial image analysis.

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