Qwen 2.5

阿里巴巴

Qwen2.5 Coder Instruct 32B is a 32-billion parameter language model from Alibaba, specifically optimized for coding tasks. It excels at code generation, completion, and understanding across multiple programming languages, following instructions effectively for developer workflows.

阿里巴巴

Qwen2.5 Coder Instruct 7B is a specialized code generation model from Alibaba's Qwen series, optimized for tasks like code completion, generation, and debugging. As a 7B parameter model, it offers a balance of strong coding performance and efficient inference speed, making it suitable for deployment in resource-constrained environments.

阿里巴巴

Qwen2.5 Instruct 32B is a mid-sized, instruction-tuned language model from Alibaba's Qwen series. It excels at following instructions, multilingual tasks, and code generation while maintaining strong reasoning capabilities. The model supports a long context window of up to 128K tokens.

阿里巴巴

Qwen2.5 Instruct 72B is a large language model developed by Alibaba's Qwen team, optimized for instruction following and dialogue. It features strong multilingual capabilities, particularly in Chinese, and excels at complex reasoning and code generation tasks. The model supports long context windows for processing extensive information.

阿里巴巴

Qwen2.5 Max is Alibaba Cloud's flagship large language model, excelling in complex reasoning, code generation, and multimodal understanding. It supports an extremely long context window and is designed for high-performance enterprise and research applications.

阿里巴巴

Qwen2.5 Turbo is a high-performance, cost-effective large language model optimized for rapid response times. It is part of Alibaba's Qwen series, designed to deliver strong general capabilities, including coding and reasoning, at a competitive price point.