Update README.md

README.md

@@ -15,11 +15,11 @@ datasets:
 - b-mc2/sql-create-context
 ---
 
-## **Model Card for Llama3.1-3B-SQL-Expert-1Epoch**
+## **Model Card for Llama3.2-3B-SQL-Expert-1Epoch**
 
 ### **Model Details**
 #### **Model Description**
-Llama3.1-3B-SQL-Expert-1Epoch is a fine-tuned version of Meta’s Llama-3.1-3B, specifically optimized for generating SQL queries from natural language input. The model has been trained using **Unsloth** for efficient fine-tuning and inference.
+Llama3.2-3B-SQL-Expert-1Epoch is a fine-tuned version of Meta’s Llama-3.1-3B, specifically optimized for generating SQL queries from natural language input. The model has been trained using **Unsloth** for efficient fine-tuning and inference.
 
 - **Developed by:** Azzedine (GitHub: Azzedde)  
 - **Funded by [optional]:** N/A  
@@ -32,7 +32,7 @@ Llama3.1-3B-SQL-Expert-1Epoch is a fine-tuned version of Meta’s Llama-3.1-3B,
 ---
 
 ### **Model Sources**
-- **Repository:** [Hugging Face](https://huggingface.co/Azzedde/llama3.1-3B-SQL-Expert)  
+- **Repository:** [Hugging Face](https://huggingface.co/Azzedde/llama3.2-3b-sql-expert-1-epoch)  
 - **Paper [optional]:** N/A  
 - **Demo [optional]:** N/A  
 
@@ -81,8 +81,8 @@ from unsloth import FastLanguageModel
 from transformers import AutoTokenizer
 
 # Load tokenizer and model
-tokenizer = AutoTokenizer.from_pretrained("Azzedde/llama3.1-3B-SQL-Expert")
-model = FastLanguageModel.from_pretrained("Azzedde/llama3.1-3B-SQL-Expert")
+tokenizer = AutoTokenizer.from_pretrained("Azzedde/llama3.2-3b-sql-expert-1-epoch")
+model = FastLanguageModel.from_pretrained("Azzedde/llama3.2-3b-sql-expert-1-epoch")
 
 # Example inference
 sql_prompt = """Below is a SQL database schema and a question. Generate an SQL query to answer the question.
@@ -164,16 +164,16 @@ print(tokenizer.decode(outputs[0]))
 ### **Citation [optional]**
 #### **BibTeX:**
 ```bibtex
-@article{llama3.1-3B-SQL-Expert,
+@article{llama3.2-3B-SQL-Expert,
   author    = {Azzedde},
-  title     = {Llama3.1-3B-SQL-Expert: An SQL Query Generation Model},
+  title     = {Llama3.2-3B-SQL-Expert: An SQL Query Generation Model},
   year      = {2025},
-  url       = {https://huggingface.co/Azzedde/llama3.1-3B-SQL-Expert}
+  url       = {https://huggingface.co/Azzedde/llama3.2-3b-sql-expert-1-epoch}
 }
 ```
 
 #### **APA:**
-Azzedde. (2025). *Llama3.1-3B-SQL-Expert: An SQL Query Generation Model.* Retrieved from Hugging Face  
+Azzedde. (2025). *Llama3.2-3B-SQL-Expert: An SQL Query Generation Model.* Retrieved from Hugging Face  
 
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