# Long-Text Processing

Qwen3 is the latest generation of large language models in the Tongyi Qianwen series, offering both dense models and mixture-of-experts (MoE) models. Through large-scale training, Qwen3 achieves breakthrough progress in reasoning capabilities, instruction following, agent functionalities, and multilingual support.

Qwen3 is the latest large language model developed by Alibaba Cloud, featuring powerful reasoning, instruction-following, and multilingual support capabilities, with the ability to switch between thinking and non-thinking modes.

The Trillion-7B Preview is a multilingual large language model supporting English, Korean, Japanese, and Chinese. It achieves performance competitive with higher-computation models while maintaining lower computational requirements.

Gemma-3-12b-it is a large language model developed by Google, based on the transformer architecture, focusing on text generation tasks.

Gemma-APS is a generative model for Abstract Proposition Segmentation (APS), capable of breaking down text paragraphs into independent facts, statements, and opinions.

The Jais series is a bilingual large language model specifically optimized for Arabic and English, featuring variants ranging from 590 million to 70 billion parameters.

A 70B-parameter large language model based on SLERP fusion technology combining the strengths of miqu-1-70b-sf and Midnight-Rose-70B, optimized for role-playing and story creation

This is a GGUF-format quantized version of the beomi/OPEN-SOLAR-KO-10.7B model, supporting 2-8 bit quantization levels, suitable for Korean and English text generation tasks.

This is a 1.3 billion parameter Yakut language model, fine-tuned based on mGPT-XL (1.3B), supporting Yakut text generation tasks.