Update README.md

updated to 12B parameters model

README.md

@@ -6,13 +6,16 @@ Introducing Mermaid_TempVariance_Factual: a 12B Parameter Model crafted entirely
 
 In my quest to explore the capabilities of dataset augmentation, I honed my toolkit to generate a fresh, synthetic dataset separate from the original organic 500-entry dataset. This new dataset, comprising 17K entries, became the sole training data for MermaidSolar_TempVariance_Factual.
 
-Mermaid Mistral, with its 7B parameters, played a pivotal role in this process, as it was responsible for generating the dataset that served as the foundation for the much larger MermaidSolar_TempVariance_Factual.
+Mermaid Mistral, with its 7B parameters, played a pivotal role in this process, as it was responsible for generating the dataset.
 
-My research is centered on showcasing the potency of dataset augmentation in large language model training. MermaidSolar_TempVariance_Factual serves as a testament to the efficacy of this approach, trained exclusively on synthetic data to demonstrate the power of the augmentation toolkit. I am Troy Andrew Schultz, and this is the culmination of my research endeavor.
+My research is centered on showcasing the potency of dataset augmentation in large language model training. 
+
+This experiement serves as a testament to the efficacy of this approach, trained exclusively on synthetic data to demonstrate the power of the augmentation toolkit. 
+I am Troy Andrew Schultz, and this is the culmination of my research endeavor.
 
 [Link to Toolkit](https://github.com/Troys-Code/AI_Research/tree/6ef11bd8a3e61539e53ba28b5d420e41b06a154c)
 
-This model, MermaidSolar_TempVariance_Factual, with 10.7B parameters, utilizes a dataset created entirely by a 7B Parameter Model, consisting of 17K Entries augmented by Mermaid Mistral outputs.
+This model with 12B parameters, utilizes a dataset created entirely by a 7B Parameter Model, consisting of 17K Entries augmented by Mermaid Mistral outputs.
 
 Note: Original ~500 Entry Organic Dataset is now my Entire Eval Dataset :)