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English(EN) Liquid AI Releases Open-Weight d1-3B and d1-omni-600M: Multimodal Decision Models With Zero Output Tokens

Liquid AI 发布开源多模态决策模型 d1-3B 和 d1-omni-600M

作者 PulseAugur 编辑部 · [1 个来源] ·

Liquid AI 发布了两款开源多模态决策模型 d1-3B 和 d1-omni-600M，它们旨在进行实时决策而非文本生成。d1-3B 模型处理文本和图像，而 d1-omni-600M 则处理文本以及图像或音频，在单次前向传播中以零输出令牌返回校准后的答案。这些模型针对 NVIDIA 硬件（包括服务器、工作站和边缘设备）的部署进行了优化，并可在 Hugging Face 上获取，支持 llama.cpp。 AI

影响 赋能边缘设备和服务器上的实时决策，可能加速路由、审核和分类等应用。

排序理由 Frontier-lab 模型发布，附带系统卡。[lever_c_demoted from frontier_release: ic=1 ai=1.0]

在 MarkTechPost 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

Liquid AI 发布开源多模态决策模型 d1-3B 和 d1-omni-600M

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Frontier-lab 模型发布，附带系统卡。[lever_c_demoted from frontier_release: ic=1 ai=1.0]
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报道来源 [1]

  1. MarkTechPost TIER_1 English(EN) · Asif Razzaq ·

    Liquid AI 发布开源 d1-3B 和 d1-omni-600M：零输出 token 的多模态决策模型

    <p>Liquid AI has released Open d1, two open-weight multimodal models in its d1 decision model family. d1-3B reads text and images. d1-omni-600M reads text with an image, or text with audio. Neither model writes text. Each returns calibrated, typed answers in one forward pass with…

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