model-showcase / README.md
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Feature Monumental Systems native language-model research
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metadata
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.