AI 模型库
Qwen2-VL-7B-Instruct
image-text-to-textWe're excited to unveil **Qwen2-VL**, the latest iteration of our Qwen-VL model, representing nearly a year of innovation.
Qwen2.5-VL-3B-Instruct
image-text-to-text许可证名称：qwen-research 许可证链接：https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct/blob/main/LICENSE 语言： - 英语 流水线标签：图像-文本到文本 标签： - 多模态 库名称：transformers
Qwen3.6-27B-FP8
image-text-to-text> [!Note] > This repository contains FP8-quantized model weights and configuration files for the post-trained model in the Hugging Face Transformers format. > > These artifacts are compatible with Hu
Qwen3.5-27B
image-text-to-text> [!Note] > This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Tra
Qwen3-1.7B
text-generationQwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groun
Qwen3.5-0.8B
image-text-to-text> [!Note] > This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Tra
Qwen3-Coder-30B-A3B-Instruct
text-generation**Qwen3-Coder** is available in multiple sizes. Today, we're excited to introduce **Qwen3-Coder-30B-A3B-Instruct**. This streamlined model maintains impressive performance and efficiency, featuring th
Qwen3-14B
text-generationQwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groun
Qwen2.5-14B-Instruct
text-generationQwen2.5是Qwen大语言模型的最新系列。针对Qwen2.5，我们发布了多个基础语言模型和指令微调语言模型，参数量从0.5亿到720亿不等。相较于Qwen2，Qwen2.5带来了以下改进：
Qwen3Guard-Gen-0.6B
text-generation**Qwen3Guard** is a series of safety moderation models built upon Qwen3 and trained on a dataset of 1.19 million prompts and responses labeled for safety. The series includes models of three sizes (0.
Qwen3-VL-4B-Instruct
image-text-to-textMeet Qwen3-VL — the most powerful vision-language model in the Qwen series to date.
Qwen2.5-Coder-7B-Instruct
text-generationQwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). As of now, Qwen2.5-Coder has covered six mainstream model sizes, 0.5, 1.5, 3, 7, 14, 32 bil
Qwen3-0.6B-FP8
text-generationQwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groun
Qwen3.6-27B
image-text-to-text> [!Note] > This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Tra
Qwen3-VL-Embedding-2B
sentence-similarityThe **Qwen3-VL-Embedding** and **Qwen3-VL-Reranker** model series are the latest additions to the Qwen family, built upon the recently open-sourced and powerful Qwen3-VL foundation model. Specifically
Qwen2.5-0.5B
text-generationQwen2.5是Qwen大语言模型的最新系列。针对Qwen2.5，我们发布了一系列基础语言模型和指令微调语言模型，参数规模从0.5亿到720亿不等。相较于Qwen2，Qwen2.5带来了以下改进：
Qwen3-Embedding-4B
feature-extractionThe Qwen3 Embedding model series is the latest proprietary model of the Qwen family, specifically designed for text embedding and ranking tasks. Building upon the dense foundational models of the Qwen
Qwen2.5-14B-Instruct-AWQ
text-generationQwen2.5是Qwen大语言模型的最新系列。针对Qwen2.5，我们发布了一系列基础语言模型和指令微调语言模型，参数量从0.5亿到720亿不等。相较于Qwen2，Qwen2.5带来了以下改进：
Qwen3-ASR-1.7B
automatic-speech-recognitionThe Qwen3-ASR family includes Qwen3-ASR-1.7B and Qwen3-ASR-0.6B, which support language identification and ASR for 52 languages and dialects. Both leverage large-scale speech training data and the str
Qwen3.5-2B
image-text-to-text> [!Note] > This repository contains model weights and configuration files for the post-trained model in the Hugging Face Transformers format. > > These artifacts are compatible with Hugging Face Tra