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Update README.md

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@@ -17,7 +17,7 @@ Ursa_Minor0.4 is a reasoning-focused language model developed by ExplodingCB2 (S
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  * **Multi-Step Inference:** Capable of breaking down complex problems into smaller, manageable steps.
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  * **Logical Deduction:** Demonstrates proficiency in applying logical rules and principles to arrive at valid conclusions.
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  * **Contextual Understanding:** Exhibits an ability to grasp and utilize contextual information to enhance reasoning accuracy.
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- * **Developed by ExplodingCB2 (Sculptor-AI):** A model born from focused research and development in the field of AI reasoning.
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  ## Intended Uses
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@@ -34,8 +34,8 @@ You can use the Ursa_Minor0.4 model through the Hugging Face Transformers librar
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  ```python
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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- tokenizer = AutoTokenizer.from_pretrained("Sculptor-AI/Ursa_Minor0.4")
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- model = AutoModelForCausalLM.from_pretrained("Sculptor-AI/Ursa_Minor0.4")
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  prompt = "What are the prime factors of 42?"
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  inputs = tokenizer(prompt, return_tensors="pt")
 
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  * **Multi-Step Inference:** Capable of breaking down complex problems into smaller, manageable steps.
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  * **Logical Deduction:** Demonstrates proficiency in applying logical rules and principles to arrive at valid conclusions.
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  * **Contextual Understanding:** Exhibits an ability to grasp and utilize contextual information to enhance reasoning accuracy.
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+ * **Developed by ExplodingCB2 & Kaileh57 (Sculptor-AI):** A model born from focused research and development in the field of AI reasoning.
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  ## Intended Uses
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  ```python
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  from transformers import AutoTokenizer, AutoModelForCausalLM
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+ tokenizer = AutoTokenizer.from_pretrained("Sculptor-AI/Ursa_Minor")
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+ model = AutoModelForCausalLM.from_pretrained("Sculptor-AI/Ursa_Minor")
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  prompt = "What are the prime factors of 42?"
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  inputs = tokenizer(prompt, return_tensors="pt")