Update README.md

README.md

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 # Model Card for Qemma-GEI
-**Gap Envelope Integral** My mathematical formulation to utilize space projections to "measure" the Jump between points of discontinuity found in Non-Differentialable Functions.
-**Redux** This Model underwent an additional merge between Qemma-redux and Qwen3-0.6B, in addition to adding Rope Scaling. 
-***Additionally*** Fusion Logic was updated to aid per layer fusion and post fusion embedding alignment.
-**Qemma** is a HuggingFace-native hybrid model that merges **Gemma-3 (1B)** and **Qwen-3 (0.6B)** at the weight level (no adapters).
-Design: Gemma MLP/body + Qwen attention/head, projected and aligned to Gemma’s hidden size. The model is then SFT-tuned for stepwise reasoning.
-This variant uses Yarn based Rope Scaling with 1:1 Ratio from max_position_embeddings
+## Gap Envelope Integral 
+* My mathematical formulation to utilize space projections to "measure" the Jump between points of discontinuity found in Non-Differentialable Functions.
+## Redux
+  * This Model underwent an additional merge between Qemma-redux and Qwen3-0.6B, in addition to adding Rope Scaling. 
+### Additionally
+* Fusion Logic was updated to aid per layer fusion and post fusion embedding alignment.
+* **Qemma** is a HuggingFace-native hybrid model that merges **Gemma-3 (1B)** and **Qwen-3 (0.6B)** at the weight level (no adapters).
+* Design: Gemma MLP/body + Qwen attention/head, projected and aligned to Gemma’s hidden size. The model is then SFT-tuned for stepwise reasoning.
+* This variant uses Yarn based Rope Scaling with 1:1 Ratio from max_position_embeddings
 ## Quick start
 
 ```python