Create README.md

README.md

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+# llama3-ayurveda-text-v4
+
+🧠 **Model Name:** `llama3-ayurveda-text-v4`  
+📚 **Base Model:** [`unsloth/Llama-3.2-11B-Vision-Instruct-bnb-4bit`](https://huggingface.co/unsloth/Llama-3.2-11B-Vision-Instruct-bnb-4bit)  
+🧪 **Trained By:** AyurEze 
+🏥 **Domain:** Ayurveda / Healthcare / Medical  
+📍 **Language(s):** English, Tamil (bilingual capability for Ayurveda-related queries)  
+🧵 **Quantization:** 4-bit (bnb)  
+🧩 **Framework:** [Transformers](https://huggingface.co/docs/transformers), [PEFT](https://huggingface.co/docs/peft), [Unsloth](https://github.com/unslothai/unsloth)  
+
+---
+
+## 🧾 Model Description
+
+This is a fine-tuned LoRA version of LLaMA 3.2 11B (bnb 4-bit) adapted for **Ayurvedic medicine** and **natural language generation in the healthcare domain**, with special emphasis on traditional Indian medical knowledge.
+
+It is trained on a curated dataset of 110+ classical Ayurvedic drugs and herbs, slokas from **Bhavaprakasha**, **Bhaisajya Ratnavali**, and traditional usage explanations in both **English** and **Tamil**. The goal is to provide accurate, contextually grounded, and culturally sensitive answers to questions about Ayurveda.
+
+---
+
+## 💡 Use Cases
+
+- 🧪 Integrate with RAG pipelines for Ayurveda apps like *AyurEze*  
+- 🤖 Q&A assistant for traditional medicine consultations
+
+---
+
+## 🛠️ Training Details
+
+- **Base Model:** `unsloth/Llama-3.2-11B-Vision-Instruct-bnb-4bit` (text-only use)
+- **Adapter Type:** LoRA (using PEFT)
+- **Library:** `unsloth`, `transformers`, `peft`
+- **Quantization:** 4-bit bnb  
+- **Epochs:** 1–3 depending on dataset size  
+- **Batch Size:** 2 per device  
+- **Data Format:** Instruction-tuned, chat-style prompts with messages key (`{"messages": [...]}`)
+
+---
+
+## 📊 Evaluation
+
+| Metric        | Result      |
+|---------------|-------------|
+| Human Eval    | ✅ Relevant, accurate for domain-specific queries |
+| Token Quality | ✅ Well-structured output for Ayurvedic prompts |
+| Toxicity      | ✅ Low (clean dataset, domain-specific)          |
+
+---
+
+## 🔍 Sample Prompt
+
+```json
+{
+  "messages": [
+    { "role": "user", "content": "Explain the uses of Pippali in Ayurveda in simple Tamil." }
+  ]
+}