qwen3-vl-plus-2025-09-23
阿里巴巴 · Qwen基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
From language to images, open weights to APIs. Understand capabilities and compare real costs.
Find the right engine for your next idea.
基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
QwQ is the reasoning model of the Qwen series. Compared with conventional instruction-tuned models, QwQ, which is capable of thinking and reasoning, can achieve significantly enhanced performance in downstream tasks, especially hard problems. QwQ-32B is the medium-sized reasoning model, which is capable of achieving competitive performance against state-of-the-art reasoning models, e.g., DeepSeek-R1, o1-mini. **This repo contains the QwQ 32B model**, which has the following features: - Type: Causal Language Models - Training Stage: Pretraining & Post-training (Supervised Finetuning and Reinforcement Learning) - Architecture: transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias - Number of Parameters: 32.5B - Number of Paramaters (Non-Embedding): 31.0B - Number of Layers: 64 - Number of Attention Heads (GQA): 40 for Q and 8 for KV - Context Length: Full 131,072 tokens - For prompts exceeding 8,192 tokens in length, you must enable YaRN as outlined in this section. **Note:** For the best experience, please review the usage guidelines before deploying QwQ models.
**QwQ-32B-Preview** is an experimental research model developed by the Qwen Team, focused on advancing AI reasoning capabilities. As a preview release, it demonstrates promising analytical abilities while having several important limitations: 1. **Language Mixing and Code-Switching**: The model may mix languages or switch between them unexpectedly, affecting response clarity. 2. **Recursive Reasoning Loops**: The model may enter circular reasoning patterns, leading to lengthy responses without a conclusive answer. 3. **Safety and Ethical Considerations**: The model requires enhanced safety measures to ensure reliable and secure performance, and users should exercise caution when deploying it. 4. **Performance and Benchmark Limitations**: The model excels in math and coding but has room for improvement in other areas, such as common sense reasoning and nuanced language understanding. **Specification**: - Type: Causal Language Models - Training Stage: Pretraining & Post-training - Architecture: transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias - Number of Parameters: 32.5B - Number of Paramaters (Non-Embedding): 31.0B - Number of Layers: 64 - Number of Attention Heads (GQA): 40 for Q and 8 for KV - Context Length: Full 32,768 tokens
基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
阿里云百炼提供多样化的视频模型选择,涵盖文生视频、图生视频(通用/舞蹈/唱演/播报等)、视频编辑(通用/视频风格重绘/视频口型替换)等应用场景。\n对接可参考官方文档: https://help.aliyun.com/zh/model-studio/use-video-generation?mode=pure&userCode=okjhlpr5#af6bc5a9c3cp9
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通义万相-图生动作 提供标准和专业两种服务模式,基于人物图片和模板视频,将视频角色的动作、表情迁移到图片角色中,生成人物动作视频,赋予图片角色动态表现力
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
阿里云百炼提供多样化的视频模型选择,涵盖文生视频、图生视频(通用/舞蹈/唱演/播报等)、视频编辑(通用/视频风格重绘/视频口型替换)等应用场景。\n对接可参考官方文档: https://help.aliyun.com/zh/model-studio/use-video-generation?mode=pure&userCode=okjhlpr5#af6bc5a9c3cp9
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阿里云百炼提供多样化的视频模型选择,涵盖文生视频、图生视频(通用/舞蹈/唱演/播报等)、视频编辑(通用/视频风格重绘/视频口型替换)等应用场景。\n对接可参考官方文档: https://help.aliyun.com/zh/model-studio/use-video-generation?mode=pure&userCode=okjhlpr5#af6bc5a9c3cp9
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阿里云百炼提供多样化的视频模型选择,涵盖文生视频、图生视频(通用/舞蹈/唱演/播报等)、视频编辑(通用/视频风格重绘/视频口型替换)等应用场景。\n对接可参考官方文档: https://help.aliyun.com/zh/model-studio/use-video-generation?mode=pure&userCode=okjhlpr5#af6bc5a9c3cp9
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
万相2.5 preview。支持自动配音和传入自定义音频文件。
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万相2.5 preview。支持自动配音和传入自定义音频文件。
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万相2.6。新增多镜头叙事能力,同时支持自动配音和传入自定义音频文件。 接口参数可参考官方文档: https://help.aliyun.com/zh/model-studio/use-video-generation?mode=pure&userCode=okjhlpr5#af6bc5a9c3cp9
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阿里云百炼提供多样化的视频模型选择,涵盖文生视频、图生视频(通用/舞蹈/唱演/播报等)、视频编辑(通用/视频风格重绘/视频口型替换)等应用场景。\n对接可参考官方文档: https://help.aliyun.com/zh/model-studio/use-video-generation?mode=pure&userCode=okjhlpr5#af6bc5a9c3cp9
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阿里云百炼提供多样化的视频模型选择,涵盖文生视频、图生视频(通用/舞蹈/唱演/播报等)、视频编辑(通用/视频风格重绘/视频口型替换)等应用场景。\n对接可参考官方文档: https://help.aliyun.com/zh/model-studio/use-video-generation?mode=pure&userCode=okjhlpr5#af6bc5a9c3cp9
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万相3.0是 all-in-one 视频生成模型,统一支持参考、编辑、复刻、驱动等多种创作功能,四模态全能参考,最长支持30秒视频生成,可解析文件、网页及复杂图片。生产级角色一致性保持,音画真实,带来身临其境的视听冲击力。
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万相3.0是 all-in-one 视频生成模型,统一支持参考、编辑、复刻、驱动等多种创作功能,四模态全能参考,最长支持30秒视频生成,可解析文件、网页及复杂图片。生产级角色一致性保持,音画真实,带来身临其境的视听冲击力。
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阿里云百炼提供多样化的视频模型选择,涵盖文生视频、图生视频(通用/舞蹈/唱演/播报等)、视频编辑(通用/视频风格重绘/视频口型替换)等应用场景。\n对接可参考官方文档: https://help.aliyun.com/zh/model-studio/use-video-generation?mode=pure&userCode=okjhlpr5#af6bc5a9c3cp9
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阿里云百炼提供多样化的视频模型选择,涵盖文生视频、图生视频(通用/舞蹈/唱演/播报等)、视频编辑(通用/视频风格重绘/视频口型替换)等应用场景。\n对接可参考官方文档: https://help.aliyun.com/zh/model-studio/use-video-generation?mode=pure&userCode=okjhlpr5#af6bc5a9c3cp9
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Adjust provider, category or input/output filters. New models are added continuously.
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