Update README.md

README.md

@@ -1,5 +1,5 @@
 ---
-base_model: LLAMA-3.2-1B-Instruct
+base_model: LLAMA-3.2-3B-Instruct
 tags:
 - text-generation-inference
 - transformers
@@ -24,19 +24,19 @@ language:
 # Uploaded Model - LLAMA3-3B-Medical-COT
 - Developed by: Alpha AI
 - License: Apache-2.0
-- Fine-tuned from model: LLAMA-3.2-1B-Instruct
-- This LLAMA-3.2-1B-Instruct model was fine-tuned using Unsloth and Hugging Face’s TRL library, ensuring efficient training and high-quality inference.
+- Fine-tuned from model: LLAMA-3.2-3B-Instruct
+- This LLAMA-3.2-3B-Instruct model was fine-tuned using Unsloth and Hugging Face’s TRL library, ensuring efficient training and high-quality inference.
 
 **Overview**
 
-LLAMA3-3B-Medical-COT is a fine-tuned reasoning and medical problem-solving model built over LLAMA-3.2-1B-Instruct. The model is trained on a dataset focused on open-ended medical problems, aimed at enhancing clinical reasoning and structured problem-solving in AI systems.
+LLAMA3-3B-Medical-COT is a fine-tuned reasoning and medical problem-solving model built over LLAMA-3.2-3B-Instruct. The model is trained on a dataset focused on open-ended medical problems, aimed at enhancing clinical reasoning and structured problem-solving in AI systems.
 
 This dataset consists of challenging medical exam-style questions with verifiable answers, ensuring factual consistency in responses. The fine-tuning process has strengthened the model’s chain-of-thought (CoT) reasoning, allowing it to break down complex medical queries step by step while maintaining conversational fluency.
 
 Designed for on-device and local inference, the model is optimized for quick and structured reasoning, making it highly efficient for healthcare applications, academic research, and AI-driven medical support tools.
 
 **Model Details**
-- Model: LLAMA-3.2-1B-Instruct
+- Model: LLAMA-3.2-3B-Instruct
 - Fine-tuned By: Alpha AI
 - Training Framework: Unsloth + Hugging Face TRL
 - License: Apache-2.0