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SenseTime open-sources SenseNova Loop-9B-Preview with looped Transformer design

SenseTime has open-sourced its SenseNova Loop-9B-Preview model, which utilizes a novel Looped Transformer architecture. This design reuses middle layers with shared weights, effectively doubling their computation to increase the model's processing depth without significantly increasing parameter count. The 9-billion parameter model aims to match the performance of models with approximately 27 billion parameters on complex tasks, showing promising results on various benchmarks. AI

IMPACT This release offers a new architectural approach for improving model efficiency and performance, potentially influencing future LLM development.

RANK_REASON Open-source release of a novel model architecture from a major AI lab.

Read on Pandaily →

AI-generated summary · Google Gemini · from 5 sources. How we write summaries →

SenseTime open-sources SenseNova Loop-9B-Preview with looped Transformer design

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Open-source release of a novel model architecture from a major AI lab.
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COVERAGE [5]

  1. 雷峰网 (Leiphone) TIER_1 中文(ZH) ·

    SenseTime Open Sources SenseNova Loop-9B-Preview: Exploring Model Potential with Computational Depth

    <p style="text-align: left; margin-top: 19pt; margin-bottom: 7pt;"><span><span style="text-align: left;">商汤开源日日新 </span><span style="text-align: left; font-weight: bold;">SenseNova Loop-9B-Preview</span><span style="text-align: left;">。这是商汤面向下一代模型架构的一项前沿探索:它采用创新 &nbsp;Looped Tran…

  2. Pandaily TIER_1 English(EN) · [email protected] (Pandaily) ·

    SenseTime Open-Sources SenseNova-Loop-9B-Preview, a Looped Model That Runs Its Middle Layers Twice

    SenseTime's open-source SenseNova-Loop-9B-Preview runs a shared 24-layer block twice, giving 56 layer passes from 32 layers, and adds two-stream mHC. Weights are Apache 2.0.

  3. dev.to — LLM tag TIER_1 English(EN) · Yi ·

    SenseTime open-sourced SenseNova Loop-9B-Preview.

    <p>SenseTime open-sourced SenseNova Loop-9B-Preview.</p> <p>It stacks layers instead of parameters. The decoder has 32 layers, but layers 4 through 27 run twice with shared weights, so a forward pass does 56 layers of work while the checkpoint stays at 9B.</p> <p>Their own eval n…

  4. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    SenseTime has open-sourced SenseNova-Loop-9B-Preview, a multimodal model on a looped Transformer design it says can match models of about 27 billion parameters

    SenseTime has open-sourced SenseNova-Loop-9B-Preview, a multimodal model on a looped Transformer design it says can match models of about 27 billion parameters with only 9 billion. The card lists 32 decoder layers, a block of 24 run twice with shared weights, giving 56 layer pass…

  5. Mastodon — mastodon.social TIER_1 English(EN) · sipirtu ·

    SenseTime open-sourced SenseNova-Loop-9B-Preview, a multimodal model that runs its middle layers twice. Source: Pandaily https:// pandaily.com/sensetime-senseno

    SenseTime open-sourced SenseNova-Loop-9B-Preview, a multimodal model that runs its middle layers twice. Source: Pandaily https:// pandaily.com/sensetime-senseno va-loop-9b-preview-looped-transformer-mhc-open-source-apache-2 # AI