Update README.md

README.md

@@ -12,5 +12,125 @@ tags:
 - phi3
 - llama
 ---
-
 ![4.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/kfT6j0uZRKZiUxRT7F--f.png)
+
+# **Phi-4 Empathetic [ Responsible Reasoning & Emotional Thought Generation ]**
+
+`[Phi-4 Empathetic finetuned]` from Microsoft's Phi-4 is an advanced open model built upon a blend of high-quality synthetic datasets, data from filtered public domain websites, and carefully selected academic resources. It excels at **responsible human-like reasoning**, **empathetic dialogue**, and **emotional thought generation**. The model is designed to engage in nuanced, thoughtful conversations, with outputs that can include **special characters** and **emojis** for expressive communication. 🌟
+
+Phi-4 Empathetic employs a sophisticated safety post-training approach, leveraging both open-source and proprietary datasets. Safety alignment is achieved using a combination of **SFT (Supervised Fine-Tuning)** and **DPO (Direct Preference Optimization)**, targeting responsible interaction and emotional awareness in diverse contexts.
+
+---
+
+# **Dataset Info**
+
+Phi-4 Empathetic is fine-tuned on a carefully curated dataset tailored for empathetic and responsible reasoning tasks. The dataset incorporates the **Chain of Thought (CoT)** methodology, emphasizing logical reasoning, emotional nuance, and step-by-step thought processes. Additionally, it includes data optimized for generating responses that resonate with human emotions, making it ideal for:
+
+- **Emotional Support Applications** 🤗
+- **Responsible Conversations** 💬
+- **Thoughtful Problem-Solving** 🧠
+
+---
+
+# **Run with Transformers**
+
+```python
+# pip install accelerate
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+tokenizer = AutoTokenizer.from_pretrained("prithivMLmods/Phi-4-Empathetic")
+model = AutoModelForCausalLM.from_pretrained(
+    "prithivMLmods/Phi-4-Empathetic",
+    device_map="auto",
+    torch_dtype=torch.bfloat16,
+)
+
+input_text = "Can you share some words of encouragement for someone feeling down?"
+input_ids = tokenizer(input_text, return_tensors="pt").to("cuda")
+
+outputs = model.generate(**input_ids, max_new_tokens=32)
+print(tokenizer.decode(outputs[0]))
+```
+
+You can ensure correct formatting for empathetic dialogue by using `tokenizer.apply_chat_template` as follows:
+
+```python
+messages = [
+    {"role": "user", "content": "Can you share some words of encouragement for someone feeling down?"},
+]
+input_ids = tokenizer.apply_chat_template(messages, return_tensors="pt", return_dict=True).to("cuda")
+
+outputs = model.generate(**input_ids, max_new_tokens=256)
+print(tokenizer.decode(outputs[0]))
+```
+
+---
+
+# **Intended Use**
+
+The Phi-4 Empathetic model is optimized for applications that require thoughtful and emotionally aware interactions. Below are some suggested use cases:
+
+1. **Emotional Support & Counseling** 💖  
+   - Providing thoughtful responses to users seeking emotional encouragement or advice.  
+   - Generating empathetic messages for mental health and well-being applications.  
+
+2. **Responsible Dialogue Generation** 🗣️  
+   - Engaging in nuanced conversations with a focus on fairness, safety, and ethical considerations.  
+   - Ensuring that interactions remain respectful and aligned with safety guidelines.  
+
+3. **Creative Writing Assistance** ✍️  
+   - Helping users craft emotionally engaging content, including stories, poems, and personal messages.  
+   - Assisting in generating content enriched with special characters and emojis for expressive communication.  
+
+4. **Educational Tools** 🎓  
+   - Offering step-by-step explanations with an empathetic tone for better understanding.  
+   - Generating thoughtful Q&A responses for various subjects.  
+
+5. **Customer Support** 🤝  
+   - Automating empathetic responses to customer queries.  
+   - Handling emotionally sensitive customer service interactions with care.  
+
+6. **Social Media Engagement** 📱  
+   - Generating creative, engaging, and emotionally resonant posts for social media platforms.  
+   - Providing personalized message suggestions enriched with emojis and special characters.  
+
+---
+
+# **Limitations**
+
+While Phi-4 Empathetic is highly capable, it has certain limitations users should be aware of:
+
+1. **Bias and Fairness**:  
+   Despite extensive safety alignment, biases may still emerge in the model’s responses. Users should exercise discretion, particularly in sensitive contexts.  
+
+2. **Emotional Nuance**:  
+   The model may occasionally misinterpret the emotional tone of a prompt, leading to less relevant or inappropriate responses.  
+
+3. **Real-Time Knowledge**:  
+   The model's knowledge is based on the data it was trained on and does not include real-time or post-training updates. It may not reflect recent events or changes in knowledge.  
+
+4. **Safety and Harmlessness**:  
+   Although the model is aligned with safety standards, there may still be cases where outputs require human oversight to ensure appropriateness.  
+
+5. **Resource Requirements**:  
+   Running the model efficiently may require significant computational resources, especially in large-scale or real-time applications.  
+
+6. **Ethical Considerations**:  
+   The model must be used responsibly, avoiding any malicious applications such as generating harmful content or spreading misinformation.  
+
+7. **Domain-Specific Limitations**:  
+   While it performs well in general-purpose tasks, it may need further fine-tuning for highly specialized domains, such as legal, medical, or financial applications.  
+
+---
+
+# **Special Features**
+
+1. **Emojis & Special Characters** 🎉💡  
+   The model can generate responses with emojis and special characters for expressive communication, making it ideal for social media and personal messaging applications.  
+
+2. **Human-Like Reasoning** 🧠  
+   Fine-tuned for **responsible reasoning** and **empathetic dialogue**, it excels at generating thoughtful and human-like responses.  
+
+3. **Advanced Safety Alignment** 🔒  
+   The model employs **iterative SFT** and **DPO** techniques to ensure that its outputs are helpful, harmless, and aligned with ethical standards.