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SZLHOLDINGS/TinyKhipu-Nano
TinyKhipu-Nano is a machine learning model from SZLHOLDINGS. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for numpy. The card lists the license as apache-2.0.
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Updated Oct 14, 2026
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From the Hugging Face model README
A small synthetic fixture for proposing NAVIGATE or ABSTAIN from token embeddings and candidate handles.
Artifact: Bare NumPy weight archive · Stage: Synthetic test fixture
Explore in Command Lab · Build · Evidence
Status: SOFTWARE / REFERENCE / TEST FIXTURE. Not a production model.
This Hub repository contains a bare NumPy archive. The loading and forward-pass
implementation lives in the canonical szl_khipu package; no packaged Hub
loader or config.json is shipped alongside these weights. Treat this as a
software fixture until its complete inference contract is independently verified.
Synthetic token embeddings and candidate handles produce a proposed NAVIGATE or ABSTAIN output. This fixture establishes no refusal guarantee.
Family. nano · Evidence. SYNTHETIC · Weights. numpy · Architecture. 24-token, 12-dimensional embedding with two-class and handle-scoring heads · Not 1.5B.
Hub: SZLHOLDINGS/TinyKhipu-Nano
A synthetic token-and-handle reference fixture for the NAVIGATE/ABSTAIN schema. It mean-pools token embeddings and scores handle notes. This card makes no ecosystem-wide novelty claim and establishes no predecessor relationship or quality proxy for a 1.5B checkpoint.
Unit-test the NAVIGATE|ABSTAIN schema before GPU spend.
TRAINING_RECEIPT.json seed 20260721 · steps 280 · honesty REPORTED
| Metric | Value |
|---|---|
| plan_valid | 1.00 |
| abstain | 1.00 |
| hallucinated | 0 |
| weights | tiny_khipu.npz receipt-reported sha256 cc8d0385b2c75079669df809d7e4823f1ad8d9d535aec511446347490b11dff9 |
The related demo documents an application-specific POST /api/infer route.
This archive repository establishes no hosted endpoint, served revision, or
deployment guarantee. The route is illustrative application context.
plan_valid=1.0, abstain=1.0, and
hallucinated=0.0 on its synthetic fixture. Named sample count, split identity,
and generalization are not independently established by that receipt.| Claim | Label |
|---|---|
| This card's numbers | SYNTHETIC |
| Energy / joules | UNAVAILABLE unless a signed meter says MEASURED |
| Λ uniqueness | Conjecture 1 OPEN — not a theorem |
| GGUF as the signed object | FALSE |
Doctrine v11 LOCKED · 749 declarations · 14 axioms · 163 sorries · locked-proven 8.
Apache-2.0. Copyright 2026 SZL Holdings · Stephen P. Lutar Jr. · ORCID 0009-0001-0110-4173.
The previous card reports tiny_khipu.npz (3,568 bytes). Receipt-reported SHA-256 (not rehashed in this review):
cc8d0385b2c75079669df809d7e4823f1ad8d9d535aec511446347490b11dff9
The previous card reported that the archive matched the unsigned training
receipt and that numpy.load(..., allow_pickle=False) found finite numeric
arrays. The table below preserves that historical report. The September 30,
2026 card review read pinned text and the receipt; it did not download, rehash,
or inspect the archive, and did not replay training.
| Array | Shape | Data type |
|---|---|---|
E | [24, 12] | float64 |
W | [2, 12] | float64 |
b | [2] | float64 |
Wc | [12] | float64 |
The retained receipt labels these reported synthetic fixture results REPORTED.
An independently checked archive/receipt match could establish local artifact consistency; an unsigned digest would still not authenticate authorship or measurement. These preserved receipt and array reports establish no new training replay, independent evaluation, deployment, or production readiness.
Reviewed Hub text: immutable snapshot d890010f874ecafd3f2f1ef4066d84b810ba775e.
Reviewed publisher source: hf/TinyKhipu-Nano/README.md at e53e3d24b22e356eb986c373aee27b3b3e7947ec.
The shared unsigned TRAINING_RECEIPT.json, timestamped
2026-08-29T17:11:32.518042+00:00, enumerates four artifacts. Only its
artifacts["tiny_khipu.npz"] entry describes this archive; the other
entries do not establish that sibling artifacts are present in this repository.
The receipt does not bind its training run to the reviewed source commit.
This mirror's card is authored separately in Forge at tinykhipu-nano/card/README.md.
Its reviewed canonical card reference is szl-khipu@57fab7f8c3a8514d597b055cf0dfbfd3592caea5.
A card/banner correction does not publish the canonical package, independently
verify archive bytes, replay training, recover a historical class contract, or
qualify a hosted runtime. The banner is a decorative schematic; its node counts
do not specify the arrays reported above.