Update README.md

README.md

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 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.
+Locutusque/Hercules-4.0-Mistral-v0.2-7B: 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.
+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."
+This MoE model was created using the LazyMergekit 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