Qwen2.5 is a new-generation large language model launched by Alibaba. It has made important optimizations in the chat template, permanently disabled the thinking state, solved problems related to the multi-round chat template, and provided a more convenient experience for experiments and research.

Natural Language ProcessingTransformers

Qwen3-VL-8B-Thinking is an 8-billion-parameter multimodal large language model developed by the Qwen team at Alibaba Cloud. It is designed for deep multimodal reasoning, supporting visual understanding, long context processing, and structured chain-of-thought generation, and performs excellently in complex reasoning tasks.

MultimodalMlx

Qwen3-VL-4B-Instruct is a 4-billion-parameter instruction-tuned multimodal large language model launched by the Alibaba Cloud Qwen team. It is optimized for Qualcomm NPUs, integrating powerful visual-language understanding capabilities with dialogue fine-tuning functions, and is suitable for practical application scenarios such as chat reasoning, document analysis, and visual dialogue.

MultimodalGguf

This is the GGUF quantized version of Alibaba's Qwen series large language model with 8 billion parameters, designed for advanced reasoning, intelligent agent behavior, and multilingual tasks, and can be used with llama.cpp and compatible tools.

Natural Language ProcessingGgufMultiple Languages

This project is the A3B quantized version of Alibaba's Tongyi In-depth Research 30B model. It aims to reduce the model deployment cost through quantization technology and make knowledge accessible to everyone. This model is optimized based on a large language model with a scale of 30B parameters, maintaining the strong capabilities of the original model while improving the inference efficiency.

Natural Language ProcessingGguf

This is the GGUF quantized version of the Qwen/Qwen3-4B language model, a large language model with 4 billion parameters developed by Alibaba's Tongyi series. It is designed for consumer-grade hardware and supports powerful reasoning, intelligent agent workflows, and multilingual interaction.

Natural Language ProcessingGgufMultiple Languages

Qwen3-Next-80B-A3B-Instruct is a large-scale language model developed by the Tongyi Qianwen team of Alibaba Cloud. It has been optimized with 4-bit quantization using the MLX framework and specifically optimized for Apple chip devices to provide efficient inference capabilities.

Natural Language ProcessingTransformers

Qwen3-Next-80B-A3B-Instruct is the latest generation of large language model developed by the Tongyi Qianwen team at Alibaba. It adopts an innovative hybrid attention mechanism and a highly sparse mixture-of-experts architecture. While maintaining a total of 80B parameters, only 3B parameters are activated, achieving efficient context modeling and inference acceleration. It natively supports a context length of 262K and can be extended to 1M tokens.

Natural Language ProcessingTransformers

Qwen3-4B-Instruct is a large language model with 4 billion parameters developed by the Tongyi Qianwen team at Alibaba. It is optimized based on the Qwen3 architecture and specifically trained for dialogue and instruction-following tasks, with strong text generation and understanding capabilities.

Natural Language ProcessingTransformers

Qwen3-4B-Instruct-2507 is a large language model with 4 billion parameters launched by Alibaba Cloud. Based on the Unsloth Dynamic 2.0 quantization technology, it has significant improvements in general capabilities, long-tail knowledge coverage, user preference alignment, and long context understanding.

Natural Language ProcessingTransformers

Qwen3-30B-A3B-Instruct-2507 is a large language model with 30 billion parameters launched by the Tongyi Qianwen team of Alibaba. It is specifically optimized for instruction following tasks. This model supports various natural language processing tasks such as text generation and dialogue interaction, and is open for developers to use through the LM Studio community model program.

Natural Language ProcessingGguf

This is the 3-bit quantization version of the Qwen3-235B-A22B-Thinking-2507 model, optimized and converted for the MLX framework. The original model is a large language model developed by the Alibaba Qwen team, with a scale of 235 billion parameters and support for chain-of-thought reasoning ability.

Natural Language ProcessingMlx

Qwen3-1.7B is a 1.7B-parameter open-source large language model released by Alibaba Cloud, based on the Transformer architecture, supporting various natural language processing tasks.

Natural Language ProcessingTransformers

Qwen3 is the latest large language model series developed by Alibaba Cloud, supporting dynamic switching between thinking mode and non-thinking mode, and excelling in reasoning, multilingual support, and intelligent agent capabilities.

Natural Language ProcessingGgufEnglish

Qwen3-0.6B is a 0.6B-parameter large language model developed by Alibaba Cloud, the latest member of the Qwen3 series, supporting over 100 languages with strong reasoning, instruction-following, and multilingual capabilities.

Natural Language ProcessingGgufEnglish

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.

Natural Language ProcessingGgufEnglish

Qwen3 is the latest version of Alibaba Cloud's large-scale language model series, featuring exceptional reasoning, instruction-following, and multilingual support capabilities. The 32B version is one of its dense models, supporting switching between thinking and non-thinking modes.

Natural Language ProcessingGgufEnglish

A lightweight version of the Qwen2.5 large language model released by Alibaba PAI, focusing on efficient text generation tasks

Natural Language ProcessingGguf

Qwen2.5-1.5B-Instruct is a large language model with 1.5 billion parameters launched by Alibaba Cloud. It supports 29 languages, has a context length of 32K and a generation capacity of 8K, and performs excellently in instruction following, code generation, and mathematical reasoning.

Natural Language ProcessingTransformersMultiple Languages

Qwen2-1.5B-Instruct is a 1.5 billion parameter instruction fine-tuned large language model released by Alibaba Cloud, suitable for Q&A and dialogue tasks.

Natural Language ProcessingGguf