| --- |
| license: apache-2.0 |
| library_name: numpy |
| tags: |
| - governed-ai |
| - khipu |
| - szl-holdings |
| - embedding |
| - silhouette |
| - software |
| - reference |
| - test-fixture |
| --- |
| |
| <!-- SZL-CARD-PRESENTATION:v1 --> |
| <p><a href="https://huggingface.co/spaces/SZLHOLDINGS/szl-command-lab"><img src="https://raw.githubusercontent.com/szl-holdings/.github/main/profile/assets/szl/logos/szl_mark_holographic.svg" alt="SZL Holdings" width="112" /></a></p> |
|
|
| # MiniEmbed-Nano |
|
|
| A deterministic 64 × 12 NumPy table for inspecting hash-based token vectors and simple pooling. |
|
|
| **Artifact:** NumPy embedding table · **Stage:** Software / reference / test fixture |
|
|
| [Explore in Command Lab](https://huggingface.co/spaces/SZLHOLDINGS/szl-command-lab) · [Build](https://github.com/szl-holdings/szl-khipu) · [Evidence](https://github.com/szl-holdings/szl-khipu/blob/8d06c9333b636a86a27d88feb49097906833af30/hf/MiniEmbed-Nano/README.md) |
|
|
| ## Before you use it |
|
|
| - This is a small reference table, not a trained neural embedding model or the separate 3290 × 128 SVD MiniEmbed artifact. |
| - The example constructs a new table; it does not verify loading or reproducing the published archive. |
| - No retrieval or analogy score is established for this artifact. Bind its exact revision, array schema, and loader before comparison. |
|
|
| <details> |
| <summary>Technical details and evidence</summary> |
|
|
| <!-- SZL-CARD-TECHNICAL:v1:START --> |
|
|
| > **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. |
|
|
| # MiniEmbed-Nano |
|
|
| Tiny hash+table embed: **V=64, d=12**, L2-normalized rows. **Not a foundation embed. Not neural. Not MiniEmbed 3290×128.** |
|
|
| Canonical source: [szl-holdings/szl-khipu](https://github.com/szl-holdings/szl-khipu) |
| Sibling card: [SZLHOLDINGS/szl-khipu](https://huggingface.co/SZLHOLDINGS/szl-khipu) |
| The larger statistical MiniEmbed (3290 × 128) lives on [SZLHOLDINGS/szl-kernels](https://huggingface.co/SZLHOLDINGS/szl-kernels) — a different artifact. Do not mix them. |
|
|
| Construction example for the canonical package: this builds and saves a |
| new deterministic 64 × 12 table. It does not load or independently verify the |
| published `mini_embed.npz`. |
|
|
| ```python |
| from szl_khipu.train import mini_embed |
| |
| emb = mini_embed.build(seed=20260721) |
| vec = emb.embed("knot the run") |
| print(emb.V, emb.D, vec.shape) |
| # 64 12 (12,) |
| emb.save_npz("mini_embed.npz") |
| ``` |
|
|
| ## What it does |
|
|
| - SHA-256 token id modulo 64. Mean-pool then L2. Deterministic given seed. |
| - Built here on CPU NumPy. Honesty **REPORTED**. Energy **UNAVAILABLE**. |
| - No analogy score. No retrieval score. No SVD variance claim (that belongs to the 3290×128 table). |
|
|
| ## Reported synthetic fixture evidence |
|
|
| `TRAINING_RECEIPT.json` seed `20260721` · honesty **REPORTED** |
|
|
| | Metric | Value | |
| |---|---| |
| | V×d | 64 × 12 | |
| | method | hash+table L2 | |
| | weights | `mini_embed.npz` receipt-reported sha256 `ae31a3a7214d1f142d8ea3f4f86c35bdedd7c108bc5d04ea00c87e7b674e6e3b` | |
|
|
| 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. |
|
|
| ## What it is NOT |
|
|
| - **Not** the [SZLHOLDINGS/szl-kernels](https://huggingface.co/SZLHOLDINGS/szl-kernels) MiniEmbed (3290 × 128, SVD var 0.3146). |
| - **Not neural. Not word2vec. Not a foundation embed.** |
| - **Not 1.5B. Not Qwen.** |
| - **Not proven trust.** Λ uniqueness remains Conjecture 1 OPEN. |
| - Energy **UNAVAILABLE**. CUDA **UNAVAILABLE**. Never a fabricated joule. |
|
|
| ## Honesty |
|
|
| | Claim | Label | What-NOT | |
| |---|---|---| |
| | Table built in this package | REPORTED | V=64 d=12, not 3290×128 | |
| | Neural / trained embed | FALSE | hash+table, not SGD | |
| | Analogy / retrieval score | UNAVAILABLE | not measured | |
| | Energy | UNAVAILABLE | never a fabricated joule | |
| | CUDA | UNAVAILABLE | CPU numpy LIVE | |
|
|
| Doctrine v11 LOCKED · 749/14/163 · locked-proven 8. Apache-2.0. Copyright 2026 SZL Holdings · Stephen P. Lutar Jr. · ORCID [0009-0001-0110-4173](https://orcid.org/0009-0001-0110-4173). |
|
|
| ## Artifact evidence |
|
|
| The previous card reports `mini_embed.npz` (6,892 bytes). Receipt-reported SHA-256 (not rehashed in this review): |
|
|
| `ae31a3a7214d1f142d8ea3f4f86c35bdedd7c108bc5d04ea00c87e7b674e6e3b` |
|
|
| 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 | |
| | --- | --- | --- | |
| | `table` | `[64, 12]` | `float64` | |
| | `V` | `[]` | `int64` | |
| | `D` | `[]` | `int64` | |
|
|
| 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 `01e82f36ff722528233f76daf899c18f8cb5aaa2`](https://huggingface.co/SZLHOLDINGS/MiniEmbed-Nano/blob/01e82f36ff722528233f76daf899c18f8cb5aaa2/README.md). |
| Reviewed publisher source: [`hf/MiniEmbed-Nano/README.md` at `e53e3d24b22e356eb986c373aee27b3b3e7947ec`](https://github.com/szl-holdings/szl-khipu/blob/e53e3d24b22e356eb986c373aee27b3b3e7947ec/hf/MiniEmbed-Nano/README.md). |
| The shared unsigned [`TRAINING_RECEIPT.json`](https://huggingface.co/SZLHOLDINGS/MiniEmbed-Nano/blob/01e82f36ff722528233f76daf899c18f8cb5aaa2/TRAINING_RECEIPT.json), timestamped |
| `2026-08-29T17:11:32.518042+00:00`, enumerates four artifacts. Only its |
| `artifacts["mini_embed.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. |
|
|
| <!-- SZL-CARD-TECHNICAL:v1:END --> |
|
|
| </details> |
|
|
