Update README.md

README.md

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----
-license: mit
----
+---
+license: mit
+language:
+- en
+base_model:
+- Qwen/Qwen3-0.6B
+tags:
+- medical
+- mental-health
+---
+# 🧠 Qwen-0.6B Mental Health Support (Fine-Tuned)
+
+**Model Repo:** `xformai/qwen-0.6b-mentalhealth-support`  
+**Base Model:** [`Qwen/Qwen-0.5B`](https://huggingface.co/Qwen/Qwen-0.5B)  
+**Task:** Empathetic Conversational AI for mental health & emotional support  
+**Fine-Tuned By:** [XformAI](https://www.linkedin.com/company/xformai)
+
+---
+
+## 🧠 What is this?
+
+This is a fine-tuned version of the Qwen-0.6B language model, adapted on a curated dataset focused on mental health support and empathetic responses. The goal is to enable helpful, emotionally aware, and safe conversations around stress, anxiety, depression, and general wellness.
+
+---
+
+## 🧪 Use Cases
+
+- Mental health chatbots  
+- Emotional support agents  
+- Wellness coaching prototypes  
+- Journaling assistants
+
+---
+
+## 📊 Training Details
+
+- **Dataset:** Internal collection of therapy-style dialogues, emotional support threads, and curated mental health Q&A (non-clinical)
+- **Epochs:** 3  
+- **Batch Size:** 16  
+- **Optimizer:** AdamW  
+- **Context Window:** 2048  
+- **Precision:** bfloat16  
+- **Framework:** Hugging Face Transformers + PEFT (LoRA)
+
+---
+
+## 🚨 Warnings
+
+⚠️ This model is **not a substitute for professional medical or mental health advice**.  
+It is trained to offer support-style language, not diagnosis or clinical recommendations.
+
+---
+
+## 🧠 Example Usage
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("xformai/qwen-0.6b-mentalhealth-support")
+tokenizer = AutoTokenizer.from_pretrained("xformai/qwen-0.6b-mentalhealth-support")
+
+prompt = "I've been feeling really overwhelmed lately. Can you help?"
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=100)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))