diff --git a/.gitignore b/.gitignore
index 5d381cc..f4b26ed 100644
--- a/.gitignore
+++ b/.gitignore
@@ -150,6 +150,10 @@ dmypy.json
 # pytype static type analyzer
 .pytype/
 
+# Model
+VeraMind-Mini
+VeraMind-Edge
+
 # Cython debug symbols
 cython_debug/
 
diff --git a/README.md b/README.md
index b4393ae..c937386 100644
--- a/README.md
+++ b/README.md
@@ -1,23 +1,27 @@
 # VeraMind
 
-**VeraMind** is a fine-tuned machine learning model designed to predict whether a news article is real or fake. Built using the Hugging Face Transformers library and PyTorch, the `VeraMind-Mini` model is optimized for binary text classification tasks.
-
+**VeraMind** is a fine-tuned machine learning model designed to predict whether a news article is real or fake. Built using the Hugging Face Transformers library and PyTorch, the `VeraMind` model suite is optimized for binary text classification tasks.
 
 
 ## Features
 
 - **Real or Fake Prediction**: Classifies news articles as "REAL" or "FAKE."
 - **Confidence Score**: Provides a numerical confidence score for each prediction.
-- **Fine-Tuned Model**: Uses `VeraMind-Mini`, a fine-tuned version of [fabelous-albert-uncased](https://gitea.fabelous.app/Fabel/Fabelous-albert-uncased), for robust and reliable predictions.
+- **Fine-Tuned Model**: Uses `VeraMind-Edge`, a fine-tuned version of [fabelous-albert-uncased](https://gitea.fabelous.app/Fabel/Fabelous-albert-uncased), for robust and reliable predictions. `VeraMind-Mini` is based on [DistilBERT](https://huggingface.co/distilbert/distilbert-base-multilingual-cased) and optimized for server-side usage.
 
 
+## Model Variants
+
+- **VeraMind-Mini**: Optimized for server-side usage, offering robust performance and efficiency for large-scale operations. Based on DistilBERT architecture.
+- **VeraMind-Edge**: Designed for client-side usage, offering a lightweight and resource-efficient solution for local inference. Based on fabelous-albert-uncased architecture.
+
 
 ## Downloading the Model
 
-You can download the `VeraMind-Mini` model from the following link:
-
-[Download VeraMind-Mini Model](https://gitea.fabelous.app/Fabel/VeraMind/releases/download/latest/VeraMind-Mini.zip)
+You can download the `VeraMind` models from the following links:
 
+- [Download VeraMind-Mini (Server-Side)](https://gitea.fabelous.app/Fabel/VeraMind/releases/download/latest/VeraMind-Mini.zip)
+- [Download VeraMind-Edge (Client-Side)](https://gitea.fabelous.app/Fabel/VeraMind/releases/download/latest/VeraMind-Edge.zip)
 
 
 ## Usage Example
@@ -28,7 +32,7 @@ The example below demonstrates how to use the `VeraMindInference` class to evalu
 from src.Inference import VeraMindInference
 
 # Load the model
-model = VeraMindInference("path/to/VeraMind-Mini")
+model = VeraMindInference("VeraMind-Edge")  # Use VeraMind-Mini for server-side usage
 
 # Example news article text
 text = "This is an example News Article"
@@ -46,17 +50,28 @@ Output:
 ```
 
 
+## Changelog
+
+### Current Version
+- **Model Architecture**: Switched from DistilBERT to ALBERT architecture for VeraMind-Edge.
+- **Memory Usage**: Reduced memory usage to approximately 10% of the previous version.
+- **Inference Speed**: Slightly slower inference speed due to architectural changes.
+
+### Previous Version
+- Used DistilBERT architecture with higher memory requirements and faster inference speed.
+
 
 ## Disclaimer
 
 This project is provided "as-is" without any warranties. While the model strives for accuracy, it may make mistakes. Always verify predictions by consulting multiple reliable sources. Use this tool responsibly.
 
 
-
 ## License
 
 This project is licensed under the [Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)](https://creativecommons.org/licenses/by-nc-nd/4.0/). You may use and share this software privately, but must credit the authors, refrain from commercial use, and avoid creating derivative works.
 
+
 ## Feedback and Support
 
-If you encounter any issues or have questions, feel free to reach out through the project's [Gitea Issues page](https://gitea.fabelous.app/Fabel/Fabelous-albert-uncased/issues) or contact our support team at support@fabelous.app.
\ No newline at end of file
+If you encounter any issues or have questions, feel free to reach out through the project's [Gitea Issues page](https://gitea.fabelous.app/Fabel/Fabelous-albert-uncased/issues) or contact our support team at support@fabelous.app.
+
diff --git a/main.py b/main.py
index 62dcd04..13c62ce 100644
--- a/main.py
+++ b/main.py
@@ -2,7 +2,7 @@ from src.Inference import VeraMindInference
 
 
 # load model
-model = VeraMindInference("path/to/VeraMind-Mini")
+model = VeraMindInference("VeraMind-Edge")
 
 
 text = "This is a example News Article"
@@ -11,5 +11,5 @@ text = "This is a example News Article"
 result = model.predict(text)
 
 # Example Output
-# {'result': 'FAKE', 'confidence': 0.9990140199661255}
+# {'result': 'FAKE', 'confidence': 0.9981970191001892}
 print(result)