# Multilingual Instructions

Thai large language model (instruction-tuned version) with 4 billion parameters, 128K context length, and function calling capability

Qwen3-4B is the latest 4-billion-parameter large language model in the Qwen series, supporting switching between thinking and non-thinking modes, with excellent performance in reasoning, multilingual, and agent tasks.

Qwen3-1.7B-FP8 is the FP8 version of the latest generation of the Qwen series of large language models, with powerful inference, instruction-following, agent interaction, and multilingual support capabilities.

Qwen3-4B is the latest version in the Qwen series of large language models, offering a 4-billion-parameter model that supports switching between thinking and non-thinking modes, with powerful reasoning, instruction-following, and multilingual capabilities.

Qwen3 is the latest generation of large language models in the Tongyi Qianwen series, offering a complete set of dense models and Mixture of Experts (MoE) models. Based on large-scale training, Qwen3 has achieved breakthroughs in reasoning, instruction following, agent capabilities, and multilingual support.

YuLan-Mini-Instruct is a compact yet powerful 2.4-billion-parameter text generation model, specializing in mathematical and code reasoning tasks with support for both English and Chinese.