Fix false 'fulfils request #17' claim: the model was trained on 191 MB web text, not the requested TinyStories-validation-only experiment. Published as a from-scratch demonstration, not the requested experiment.

README.md

@@ -18,7 +18,9 @@ metrics:
 
 # Testr-100K
 
-A **106,568-parameter** character-level GPT trained from scratch. Fulfils model request [#17](https://huggingface.co/spaces/Compactbot/model-requests/discussions/17) from @GGUFGuy.
+A **106,568-parameter** character-level GPT trained from scratch.
+
+**Relationship to model request [#17](https://huggingface.co/spaces/Compactbot/model-requests/discussions/17) from @GGUFGuy — read this first:** that request was a *deliberate experiment* — train a model **only on the TinyStories validation set** and see what happens. This model does **not** do that: it was trained on **191 MB of web text**. It is published as a from-scratch character-level training demonstration, **not** as the requested TinyStories-validation-only experiment. If you were waiting on the actual experiment, this is not it — that one is still to be done.
 
 ## What it is
 
@@ -41,7 +43,7 @@ A minimal nanoGPT-style causal transformer operating at the **character level**
 
 ## Training
 
-- **Data:** 191 MB web text (character-level, uint8)
+- **Data:** 191 MB web text (character-level, uint8) — **not** the TinyStories validation set that request #17 asked for
 - **Steps:** 8,000
 - **Batch size:** 32 × seq 512
 - **Optimizer:** Muon (0.02) + AdamW (1e-4) for biases/norms
@@ -73,6 +75,7 @@ The first sentence or two is often grammatical; after that the model locks into
 
 ## What it is NOT
 
+- Not the TinyStories-validation-only experiment that request #17 asked for
 - Not a subword/token-level model (it cannot "read" word-level benchmarks like BLiMP or ARC)
 - Not a coherent paragraph generator
 - Not comparable to sub-1M subword models on any word-level metric