model-showcase / README.md
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Feature Monumental Systems native language-model research
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---
title: Monumental Systems - Model Showcase
emoji: "🌊"
colorFrom: indigo
colorTo: purple
sdk: static
app_file: index.html
pinned: true
short_description: Explore spectral, rotor, oscillator, and byte models.
license: mit
tags:
- geometric-deep-learning
- language-models
- harmonic-gpt
models:
- MonumentalSystems/harmonic-gpt-spherical-kan-128m-clean
- MonumentalSystems/harmonic-gpt-spherical-kan-128m-maxine
- MonumentalSystems/rotor-25m-annealed
- MonumentalSystems/wire-9m-best
- MonumentalSystems/harmonic-gpt-128m-byte-agent-multiparty
- MonumentalSystems/harmonic-gpt-128m-byte-chat
---
# Monumental Systems Model Showcase
A lightweight, static front door to our architecture research and interactive demos.
Model descriptions are grounded in the linked public model cards. Runnable demos and
downloadable research checkpoints have separate labels; archives and conventional
Transformer controls are identified explicitly.
- SpectralKAN Lab: native Clean and Maxine recurrent inference on free CPU hardware.
- Rotor 25M: the existing demo corrected to load its advertised Annealed checkpoint.
- WIRE 9M: weights and configuration for research inspection; no hosted runtime bundled.
- Harmonic Byte Chat: CPU frontend backed by Apple Metal on the Mac.
- Multiparty dialogue: model weights with participant-aware native byte framing.
No paid hardware or ZeroGPU quota is used by the showcase.