whatever enny

README.md

@@ -1,10 +1,106 @@
 ---
 license: cc-by-nc-4.0
+tags:
+- text-generation
+- study-assistant
+- emotionally-intelligent
+- casual-ai
+inference: true
 language:
 - en
-base_model:
-- microsoft/phi-2
+library_name: transformers
+pipeline_tag: text-generation
+widget:
+- text: Can you help me study math?
+---
+
+
+---
+base_model: microsoft/phi-2
 library_name: peft
 tags:
-- education
----
+  - study-assistant
+  - education
+  - phi-2
+  - fine-tuned
+  - emotional-intelligence
+license: mit
+inference: true
+---
+
+# Study Buddy AI v2.1
+
+A fine-tuned version of Microsoft's Phi-2, trained to stay faithful to retrieved data and think in chains of thought. A study assistant that helps users learn deeply through conversation. Designed for real-time interaction inside a lightweight web app.
+
+![Model Logo Placeholder]("C:\Users\micah\Documents\sblogo.png.jpg") <!-- Replace this with your logo when ready -->
+
+## Model Details:
+
+### Model Description
+
+Study Buddy AI is built on `microsoft/phi-2` and fine-tuned using PEFT (Parameter-Efficient Fine-Tuning). It was trained to behave like a study partner — casual, reasoning, encouraging, and deeply helpful for academic subjects and personal growth.
+
+### Features
+
+- Friendly tone tailored for Gen Z and students
+- Explains complex topics using simple language
+- Emotionally intelligent responses — supportive and motivational
+- Great for studying, reviewing, or breaking down hard concepts
+
+### Use Cases
+
+- Personal tutoring via chat
+- Homework help and study review
+- Emotional motivation during learning sessions
+- Supplementing lessons with a relatable assistant
+
+### Limitations
+
+- Best used in short back-and-forths, not long essays
+
+## Training & Fine-Tuning
+
+- **Base model**: `microsoft/phi-2`
+- **Fine-tuning method**: LoRA via the `peft` library
+- **Custom dataset**: 3,000+ curated prompts focused on simplified teaching, multi-step thinking, and staying loyal to retrieved data. 
+- **Hosted via**: Hugging Face Inference Endpoints (GPU-backed)
+
+## How It Works
+
+Frontend ➝ Flask API ➝ Hugging Face Model ➝ Response ➝ KnowBetter Logic (to clean output)
+
+Built to run inside a React + Flask stack with CORS enabled and token-secured backend access to Hugging Face.
+
+## Model Creator
+
+**Creator**: Micah Miles  
+**GitHub/Contact**: redmint-him  
+**Team**: Redmint  
+**Project**: Study Buddy AI
+
+## License
+
+This model is licensed under the **Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)**.
+
+You are free to:
+- Use the model for **personal or educational purposes**
+- Modify, remix, or build upon it
+
+**You may not**:
+- Sell, sublicense, or use the model or its outputs for any commercial purposes
+
+© 2025 Micah Miles
+
+## NOTICE
+
+This model is licensed for **non-commercial use only**.
+
+For commercial licensing or partnership inquiries, contact: micahmiles21@gmail.com
+
+---
+
+"IF YOU'RE READING THIS IT'S NOT TOO LATE."
+
+"If man can, I can, You can, We can."
+
+- MICAH MILES.