Update README.md

README.md

@@ -26,8 +26,11 @@ inference:
 
 # GrownUpBaby-110M 👶➡️👨‍🎓
 
-**GrownUpBaby-110M** is a Small Language Model (SLM) based on the **Gemma** architecture, trained from scratch to be a capable storyteller and creative assistant. Despite its compact size (110 Million parameters), it demonstrates strong coherence and thematic understanding, making it suitable for edge devices and consumer hardware.
+"Bedtime stories grew up."
 
+**GrownUpBaby-110M** is a compact, Gemma-style causal LLM (110,304,256 parameters) trained from scratch to be a capable storyteller and creative assistant, with strong coherence and thematic control despite its size.
+It's the grown-up counterpart to my earlier **[Exquisique/BabyLangModel](https://huggingface.co/Exquisique/BabyLangModel)**—an LLM with fewer parameters (30M) trained from scratch on TinyStories to generate short, simple narratives for young readers.
+With more room to breathe, GrownUpBaby aims for richer voice, longer arcs, and cleaner pacing—built to read like a **master storyteller** on consumer hardware.
 ## 💻 Model Details
 
 *   **Architecture:** Custom Gemma-style (RoPE, RMSNorm, GeGLU Activations)