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Release nullspan v1.2.1: L4 GPU NullspanBench + Typed Decisions #2 Overall + JevBench 100% Easy
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metadata 
title: Nullspan
emoji: ⚡
colorFrom: gray
colorTo: indigo
sdk: static
pinned: false
license: mit
models:
  - gnumanth/nullspan
datasets:
  - gnumanth/nullspan-dataset
  - LocalLLaMA/typed-decisions
  - rajpurkar/squad_v2
short_description: System One extraction, typed decisions, p_null & quantiles

nullspan — System One Structured Extraction, Typed Decisions, Calibrated Abstention (p_null) & Quantiles

Interactive Hugging Face Space for gnumanth/nullspan (345.3M NullspanForExtraction ELECTRA-Large + 331.1 MB Int8 ONNX + NullspanSystemOneEngine /v1/systemone DeBERTa-v3-Large cross-encoder).

  • In-Browser Neural Execution: Click Tier 1: In-Browser Neural ONNX (WASM SIMD · 331.1 MB Int8) in the toolbar to stream and run gnumanth/nullspan/onnx/model_quantized.onnx directly inside your browser via WebAssembly SIMD.
  • Interactive 19-System Leaderboard: Open bench.html to explore NullspanBench (N = 500 zero-leakage observations).
  • Local Gradio Python App: Also includes app.py (python app.py) for PyTorch FP32 Gradio execution.
  • GitHub Repository: hemanth/nullspan
  • Dataset: gnumanth/nullspan-dataset