llaa33219/wskan-10k-tinystories

text-generation model by llaa33219

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12,546 parameters · WSKAN-11 · byte-level LM trained on TinyStories (word-formation tier) wskan-10k-tinystories is a checkpoint of WSKAN-11 (Wavelet-like State-Space KAN, version 11), a Kolmogorov-Arnold Network in which every edge function is the impulse response of a stable state-space model — a wavelet-like damped oscillator. One parameterization supports two modes: a closed-form wavelet edge (static, WavKAN-style) and a recurrent SSM edge (Mamba-style selective scan); this checkpoint runs the recurrent mode through a fused Triton associative-scan kernel. This model is one cell of the 3-epoch release matrix (5 sizes x 3 datasets, seed 42) trained for the WSKAN architecture study. It is released to make the study's qualitative claims directly inspectable: the generation results below are real, unedited outputs of these exact weights. model — a damped oscillator (decay sigma, frequency omega) that acts as a wavelet-like kernel. so the wavelet transform is content-warped per token (Mamba-style selectivity). against the reference…

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  1. wskan-10k-tinystories
  2. Introduction
  3. Features
  4. Model collection
  5. Generation results (real outputs)
  6. Evaluation of the outputs
  7. Configuration
  8. Local run
  9. Limitations
  10. Provenance

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Model overview

llaa33219/wskan-10k-tinystories is a text-generation model repository published by llaa33219 on Hugging Face. A library was not reported.

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Model facts

Task
text-generation
Library
Not reported
Recent downloads (30 days)
0
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
15,618
Architecture
Not reported
License
Not reported — check the model card
Access
Not gated by Hugging Face
Created
2026-10-04T05:57:21.000Z
Last modified
2026-10-04T06:02:45.000Z

Compatibility and lineage

Language coverage was not reported.

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Source: Hugging Face Hub. Metadata observed 2026-10-04T06:39:42.784Z. Daily imports are snapshots, not real-time monitoring.

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