Qwen2.5-0.5B-Instruct (GGUF) is a lightweight, multilingual LLM with strong coding, math, and instruction-following capabilities. It handles structured data and chatbot role-play while running efficiently on...

Qwen2.5-VL is a vision-language model designed for AI agents, finance, and commerce. It excels in visual recognition, reasoning, long video analysis, object localization, and structured...

Qwen2.5-Coder is a code-specific LLM series (0.5B–32B) with improved code generation, reasoning, and fixing. Trained on 5.5T tokens, the 32B model rivals GPT-4o in coding...

QwQ is the reasoning model of the Qwen series, designed for enhanced problem-solving and downstream task performance. QwQ-32B competes with top reasoning models like DeepSeek-R1...

Audio Chat

--

--

The Qwen2-7B-Instruct is a state-of-the-art multilingual language model with 7.07 billion parameters, excelling in language understanding, generation, coding, and mathematics, and supporting up to 128,000...

Qwen1.5-7B-Chat is an open-source, multilingual LLM with 32K token support, excelling in language understanding, alignment with human preferences, and competitive tool-use capabilities

Qwen-VL-Chat is a high-performing LVLM by Alibaba Cloud for text-image dialogue tasks, excelling in zero-shot captioning, VQA, and referring expression comprehension while supporting multilingual dialogue.

Qwen1.5-110B-Chat llm, with over 100 billion parameters, demonstrates competitive performance in base language tasks and significant improvements in chatbot evaluations and boasting multilinguality

Qwen1.5-32B model provides competitive AI performance with optimized efficiency, making it a strong choice for diverse, multilingual applications

Qwen1.5-72B-Chat leads in language understanding, generation, and alignment, setting new standards in conversational AI and multilingual capabilities, outperforming GPT-4, GPT-3.5, Mixtral-8x7B, and Llama2-70B.