Update README.md

README.md

@@ -24,7 +24,7 @@ metrics:
 model_type: text-to-sql
 ---
 
-# OpenMRS NLP-to-SQL Model (Stage 2) - NSQL-350M
+# OpenMRS NLP-SQL Model (Stage 2) 
 
 <div align="center">
   
@@ -137,7 +137,7 @@ from peft import PeftModel
 
 # Load base model and tokenizer
 base_model = "NumbersStation/nsql-350M"
-adapter_model = "your-username/openmrs-nsql-350m-stage2"  # Replace with actual path
+adapter_model = "thegeeksinfo/openmrs-nlp-ql"  # Replace with actual path
 
 tokenizer = AutoTokenizer.from_pretrained(base_model)
 model = AutoModelForCausalLM.from_pretrained(base_model)
@@ -378,7 +378,7 @@ Estimated carbon footprint calculated using the [ML CO2 Impact Calculator](https
 - **GPUs**: 20x NVIDIA RTX A5600
 - **VRAM per GPU**: 68 GB
 - **Total Compute**: 684 GB GPU memory
-- **CPU**: 128-core AMD EPYC
+- **CPU**: 132-core AMD EPYC
 - **RAM**: 1360 GB DDR4
 - **Storage**: 60 TB NVMe SSD
 
@@ -399,7 +399,7 @@ If you use this model in your research or applications, please cite:
 
 ```bibtex
 @software{openmrs-nlp-sql,
-  author = {{OpenMRS AI Research Team}},
+  author = {{thegeeksinfo AI Research Team}},
   title = {OpenMRS NLP-to-SQL Model (Stage 2): NSQL-350M Fine-tuned for Electronic Medical Records},
   year = {2025},
   month = {October},
@@ -415,9 +415,9 @@ If you use this model in your research or applications, please cite:
   year = {2023}
 }
 
-@misc{openmrs2024,
+@misc{thegeeksinfo2024,
   title = {OpenMRS: Open Source Medical Record System},
-  author = {{OpenMRS Community}},
+  author = {{thegeeksinfo}},
   year = {2024},
   howpublished = {\url{https://openmrs.org}},
   note = {Open-source EHR platform for global health}
@@ -484,7 +484,7 @@ We welcome contributions! To contribute:
 This model is released under the **Apache License 2.0**.
 
 ```
-Copyright 2025 OpenMRS Community
+Copyright 2025 thegeeksinfo Community
 
 Licensed under the Apache License, Version 2.0 (the "License");
 you may not use this file except in compliance with the License.