recipe-free model card (architecture proprietary)

README.md

@@ -1,17 +1,12 @@
 ---
-license: apache-2.0
-tags: [aether, anima, reasoning, from-scratch]
+license: other
+tags: [aether, anima, reasoning]
 ---
 
-# FatStinkyPanda · Aether — step 90
+# FatStinkyPanda · Aether
 
-A from-scratch reasoning LLM (MLA + Mamba2 hybrid, MoE, MTP, self-verification), trained in the **Anima** project (https://github.com/FatStinkyPanda/Anima). Created & released by **FatStinkyPanda** (Daniel A. Bissey).
+A from-scratch reasoning LLM by **FatStinkyPanda** (Daniel A. Bissey), part of the **Anima** project.
 
-> Honest scope: a small (~100M-active/330M-total) model trained on a tiny budget — best-in-class for its size, NOT frontier-scale. The architecture is built to scale.
+> **Proprietary architecture.** Architecture + training innovations are NOT public. This repo hosts the trained **weights + tokenizer only**. Benchmarks run on neutral free compute (Kaggle) and are published openly so the numbers are verifiable without exposing how the model works.
 
-## Latest held-out benchmarks (acc_norm)
-- **hellaswag**: 0.26
-- **arc_easy**: 0.27
-- **arc_challenge**: 0.28
-- **winogrande**: 0.56
-- **train_slice_ppl**: 174.91
+Created & released by **FatStinkyPanda**. For access or collaboration, contact the creator.