Update README.md

README.md

@@ -13,11 +13,15 @@ base_model:
 - Open-Orca/Mistral-7B-OpenOrca
 ---
 
-# seldonium-2x3b-MoE-v0.1
+# seldonium-2x7b-MoE-v0.1
 
-seldonium-2x3b-MoE-v0.1 is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
-* [Locutusque/Hercules-4.0-Mistral-v0.2-7B](https://huggingface.co/Locutusque/Hercules-4.0-Mistral-v0.2-7B)
-* [Open-Orca/Mistral-7B-OpenOrca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca)
+seldonium-2x7b-MoE-v0.1-coder-logic is a Mixture of Experts (MoE) model that combines the capabilities of two specialized language models:
+
+[Locutusque/Hercules-4.0-Mistral-v0.2-7B] (https://huggingface.co/Locutusque/Hercules-4.0-Mistral-v0.2-7B?not-for-all-audiences=true): A 7B parameter model focused on programming tasks, such as writing functions, implementing algorithms, and working with data structures.
+
+[Open-Orca/Mistral-7B-OpenOrca] (https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca): A 7B parameter model focused on logical reasoning and analysis, including solving logic problems, evaluating arguments, and assessing the validity of statements.
+
+This MoE model was created using the [LazyMergekit] (https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing) colab, which allows for efficient combination of specialized models to produce a more capable and efficient overall model. The seldonium-2x3b-MoE-v0.1 can be used for a variety of natural language processing tasks that benefit from the complementary strengths of its expert components."
 
 ## 🧩 Configuration