Joined May 2026
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🚀 Keye-VL-2.0-30B-A3B released — fully open. The first VLM to land DSA (DeepSeek Sparse Attention) in production — nearly lossless reasoning over 256K ultra-long context. 30B params. Fully open. 🤗 🧵👇
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🎉The Kwai Keye-VL-2.0 Technical Report is now live. Keye-VL-2.0 is the first to adapt DeepSeek Sparse Attention (DSA) to GQA-based multimodal architectures, enabling lossless 256K context processing for long-video understanding. Paper: huggingface.co/papers/2606.1…
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🎆 Keye-VL-2.0实测案例:识别非遗炭花舞的视觉与情感双重高潮 面对一段记录传统炭花舞的视频,当提问“找到视频中的高光时刻”时,Keye-VL-2.0- 30B-A3B 没有陷入传统 AI “哪里最亮就截取哪里”的机械逻辑,而是基于视觉冲击力与情感共鸣,给出了极具审美深度的分段式高光判定: 👇🏻🧵
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[05:33-05:46]情感共鸣的升华收尾: 模型判定依据: 表演结束后观众群情激昂,爆发热烈掌声与欢呼声。人群纷纷举起手机记录,共同沉浸于表演魅力中。这一段落标志着非遗技艺成功突破地域限制并获得大众共鸣,社会意义在此刻升华,是全片的情感高光与叙事收尾点。
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🎬 Keye-VL-2.0实测案例:精准拆解非遗茶器的制作时序 向 Keye-VL-2.0-30B-A3B 输入了一段制作陶杯的工艺流程视频。面对繁复的手工动作,模型展现出了手术刀般的帧级判断力,直接输出了一份带有精确时间戳的工艺全拆解 🧵👇
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4.茶杯坯体制作与装饰:转轮手工拉坯塑形;精细修整厚度形状;底部贴方形印章款识并修整 5.配釉与施釉:按比例称取石英石长石等原料并加水搅拌制浆;坯体反复浸入釉浆后自然晾干 6.烧制与成品展示:装窑堆叠;烧柴升温至 1200℃;出窑清洗浸入陈茶水中氧化调整釉色;最终呈现开片、铁足等釉色特征
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从挖土、煅烧、水飞到修坯、配釉、陈茶,全程极具专业壁垒的手工工序,模型不仅全部准确识别,更将每一个工艺动作与视频时间轴实现了毫秒级的完美咬合。 现在体验👇🏻: Hugging Face: huggingface.co/Kwai-Keye/Key… GitHub:github.com/Kwai-Keye/Keye (致谢:本文案例演示的视频素材源自快手平台 @山白)
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🚀 Keye-VL-2.0-30B-A3B released — fully open. The first VLM to land DSA (DeepSeek Sparse Attention) in production — nearly lossless reasoning over 256K ultra-long context. 30B params. Fully open. 🤗 🧵👇
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▸ Tops video benchmarks at its scale ▸ Outperforms Qwen3-VL-235B on LongVideoBench (74.1) ▸ First Keye base model with built-in Agent: Code · Tool · Search
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