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Running on Zero
A newer version of the Gradio SDK is available: 6.31.0
title: NTK Trainer Demo
emoji: 🎛️
colorFrom: green
colorTo: yellow
sdk: gradio
sdk_version: 5.49.1
app_file: app.py
pinned: false
license: mit
models:
- OpenPeerAI/OpenPeer-AI-NTK-Trainer
- OpenPeerAI/OpenPeerLLM
short_description: Fit NTK gate controllers on a frozen LLM live on ZeroGPU
NTK Trainer Demo
A live demonstration of the OpenPeer-AI-NTK-Trainer: fine-tuning a frozen causal language model by fitting a small set of signed log-gates on its layer outputs, with the fitting objective derived from neural tangent kernel theory, instead of training LoRA adapters or full weights.
Paste tab-separated prompt and completion pairs, choose a gate budget and step count, and the space loads OpenPeerLLM on ZeroGPU, scores a held-out slice, selects and fits the gates with ntkmirror, scores again, shows greedy continuations before and after, plots the learned gates, and offers the controller file for download.
The same method was used at every rung of the My Name is Riemann growth ladder.
Maintained by OpenPeer AI. The trainer is released under MIT.