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n3jb_d — RAI safety classifier (Atlassian responsible-ai campaign)

  • Base: nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16
  • Method: full-SFT (final merged model; optimizer states not saved by the trainer)
  • Arm / iteration: n3jb_d / n3jb
  • Contents: model weights (root) · eval/ = raw inference outputs on the eval sets (v14, hello_v2_filtered, v200, robustnessv2) under policy prompts v3_1b / v3_1c · artifacts/ = training log
  • Eval-inference files uploaded: 10

Binary content-safety classifier; output = two lines Verdict: <category> / Reason: ....

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Safetensors
Model size
4B params
Tensor type
F32
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BF16
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