Update README.md

README.md

@@ -22,9 +22,9 @@ metrics:
 - accuracy
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-# 💀 Nebulos (SkullLLM-125M)
+# 💀 SkullLLM-125M
 
-**Nebulos** is a lightweight, experimental multilingual language model fine-tuned from GPT-2. This project, part of the **SkullLLM** series, demonstrates that AI training is possible on highly constrained consumer hardware (3GB VRAM) using advanced optimization techniques.
+**SkullLLM-125M** is a lightweight, experimental multilingual language model fine-tuned from GPT-2. This project, part of the **SkullLLM** series, demonstrates that AI training is possible on highly constrained consumer hardware (3GB VRAM) using advanced optimization techniques.
 
 ### 🚀 Model Details
 - **Developed by:** Erik22TY
@@ -60,7 +60,7 @@ Nebulos was trained on a high-quality multilingual stream:
 - **Final Loss:** 4.0898
 
 ### ⚠️ Limitations & Behavior
-As a 125M parameter model trained for 500 steps, Nebulos is a **Proof of Concept**. 
+As a 125M parameter model trained for 500 steps, SkullLLM-125M is a **Proof of Concept**. 
 - **Repetitions:** May occasionally loop phrases (e.g., "metic"). Use `repetition_penalty=1.5`.
 - **Language Blending:** Due to its size, it may mix Romance languages (Spanish/French/Portuguese) in complex responses.
 - **Coherence:** Best used for short-form explanations or creative experiments.