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A newer version of the Gradio SDK is available: 6.31.0
title: Tessera-1B-Nano comparison
emoji: 🧩
colorFrom: gray
colorTo: blue
sdk: gradio
app_file: app.py
suggested_hardware: zero-a10g
license: apache-2.0
short_description: Side-by-side generation with a live concept readout
Tessera-1B-Nano vs Tessera-1B-Nano-Base
Side-by-side demo for the token-matched comparison described in the Tessera-1B-Nano repository. Three generations per run: the NTP-only baseline, the concept arm with predicted feedback, andthe concept arm with its concept feedback zeroed at inference. A readout panel reports the teacher-forced NTP loss of each model on the prompt and the zero-feedback penalty of the concept arm.
Runs on ZeroGPU: the checkpoints load on CPU at startup and each request moves compute to
a shared A100 through the spaces.GPU decorator.
The checkpoints: Tessera-1B-Nano and Tessera-1B-Nano-Base. The full study, including the committed intervention numbers (zeroing costs +0.1050 nats on held-out data, shuffling costs +0.0008), is in the repository whitepaper.