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SenseNova releases a preview model that runs shared layers twice

SenseNova released SenseNova-Loop-9B-Preview on October 30. Its open weights let developers test a decoder that repeats computation using shared parameters.

Spec sheet

License
Apache 2.0
Input
Text and images
Output
Text
Decoder
32 layers; 56 executions

The model runs 24 layers twice, producing 56 layer executions from 32 distinct layers. The second pass processes the first pass’s output. Deployment requires its custom implementation; the card points SGLang and vLLM users to specific pull-request versions.

Claim check

  • Unclear Performance comparisons remain unestablished: the benchmark section is empty and the technical report is pending. [1]

Sources