Upload README.md

README.md

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+---
+language:
+  - en
+tags:
+  - medical
+  - llama
+  - heart-disease
+  - healthcare
+  - instruction-tuned
+  - awareness
+  - causal-lm
+model_name: CardioMed-LLaMA3.2-1B
+base_model: meta-llama/Llama-3.2-1B-Instruct
+datasets:
+  - custom
+library_name: transformers
+pipeline_tag: text-generation
+---
+
+# 🫀 CardioMed-LLaMA3.2-1B
+
+**CardioMed-LLaMA3.2-1B** is a domain-adapted, instruction-tuned language model fine-tuned specifically on heart disease–related medical prompts using LoRA on top of `meta-llama/Llama-3.2-1B-Instruct`.
+
+This model is designed to generate structured **medical abstracts and awareness information** about cardiovascular diseases such as stroke, myocardial infarction, hypertension, etc.
+
+---
+
+## ✨ Example Usage
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+model = AutoModelForCausalLM.from_pretrained("rajkumar/CardioMed-LLaMA3.2-1B", torch_dtype=torch.float16).cuda()
+tokenizer = AutoTokenizer.from_pretrained("rajkumar/CardioMed-LLaMA3.2-1B")
+
+prompt = """### Instruction:
+Provide an abstract and awareness information for the following disease: Myocardial Infarction
+
+### Response:
+"""
+
+inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
+outputs = model.generate(**inputs, max_new_tokens=512)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+---
+
+## 🧠 Use Cases
+
+- Patient education for cardiovascular conditions  
+- Early awareness chatbots  
+- Clinical NLP augmentation  
+- Health-tech research assistants
+
+---
+
+## 🔧 Fine-tuning Details
+
+- **Base model:** `meta-llama/Llama-3.2-1B-Instruct`  
+- **Fine-tuning method:** PEFT (LoRA)  
+- **LoRA target modules:** `q_proj`, `v_proj`  
+- **Dataset size:** 3,209 instruction-response pairs (custom medical JSONL)  
+- **Instruction format:** Alpaca-style (`### Instruction` / `### Response`)  
+- **Max sequence length:** 512 tokens  
+- **Framework:** Hugging Face Transformers + PEFT
+
+---
+
+## 🧪 Prompt Format
+
+```text
+### Instruction:
+Provide an abstract and awareness information for the following disease: Stroke
+
+### Response:
+```
+
+Model will generate:
+- ✅ Abstract  
+- ✅ Awareness & prevention guidelines  
+- ✅ Structured medical info
+
+---
+
+## 📄 License
+
+This model is licensed under the **MIT License** and intended for **educational and research purposes only**.