MiniEmbed-Nano card

README.md

@@ -3,28 +3,20 @@ license: apache-2.0
 library_name: numpy
 tags:
   - governed-ai
-  - khipu
   - szl-holdings
-  - embedding
-  - silhouette
+  - doctrine-v11
+  - nano
+  - measured
 ---
 
 # MiniEmbed-Nano
 
-Tiny hash+table embed: **V=64, d=12**, L2-normalized rows. **Not a foundation embed. Not neural. Not MiniEmbed 3290×128.**
+A 64×12 embedding whose rows are a function of SHA-256. The vector is the receipt of the token.
 
-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.
+**Family.** nano · **Evidence.** MEASURED · **Weights.** numpy · **Params.** 64 × 12
 
-```python
-from szl_khipu.train import mini_embed
+Hub: [SZLHOLDINGS/MiniEmbed-Nano](https://huggingface.co/SZLHOLDINGS/MiniEmbed-Nano)
 
-emb = mini_embed.build(seed=20260721)
-vec = emb.embed("knot the run")
-
-
-<!-- SZL-ATELIER-CUT:v1:START -->
 ## The cut
 
 Nobody ships an embedding where retrieval is provenance. MiniEmbed is not BGE, not NV-Embed. Mean-pool of L2 rows, seed 20260721, CPU NumPy.
@@ -51,36 +43,15 @@ Silhouette of receipted retrieval. Teaching and tests.
 - Not comparable to BGE-base 768-d.
 - Hit@2 is on five doctrine pairs — SAMPLE.
 
-Canonical GitHub: [`szl-holdings/szl-khipu`](https://github.com/szl-holdings/szl-khipu/blob/main/szl_khipu/train/mini_embed.py)
-<!-- SZL-ATELIER-CUT:v1:END -->
-
-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).
-
-## 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 |
+| Claim | Label |
+|---|---|
+| This card's numbers | MEASURED |
+| 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.
 
-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).
+Apache-2.0. Copyright 2026 SZL Holdings · Stephen P. Lutar Jr. · ORCID [0009-0001-0110-4173](https://orcid.org/0009-0001-0110-4173).