Update README.md

README.md

@@ -5,4 +5,83 @@ language:
 - en
 - uk
 - zh
----
+---
+# PyroNet-v2
+
+**PyroNet-v2** is a fine-tuned conversational AI model based on [Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct).  
+It is the successor to **PyroNet-v1.5**, which was built on top of [phi-2](https://huggingface.co/microsoft/phi-2).
+
+Created by **IceL1ghtning (Artyom, Ukraine)**.
+
+---
+
+## 🔧 Model Details
+- **Base model:** Qwen2.5-3B-Instruct  
+- **Parameters:** ~3B  
+- **Previous version:** PyroNet-v1.5 (phi-2)  
+- **Input format:** ChatML (`<|im_start|>role ... <|im_end|>`)  
+- **Multilingual support:** English, Russian, Ukrainian, and more  
+
+---
+
+## 🚀 Quick Start
+
+### Installation
+```bash
+pip install transformers accelerate
+```
+### Usage Example
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_name = "Kenan023214/PyroNet-v2"
+
+# Load tokenizer and model
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    device_map="auto"
+)
+
+# Example conversation
+messages = [
+    {"role": "user", "content": "Hi! Can you solve the equation x^2 - 5x + 6 = 0?"}
+]
+
+# Apply chat template
+inputs = tokenizer.apply_chat_template(
+    messages,
+    tokenize=True,
+    add_generation_prompt=True,
+    return_tensors="pt"
+).to(model.device)
+
+# Generate output
+outputs = model.generate(
+    inputs,
+    max_new_tokens=256,
+    temperature=0.7,
+    do_sample=True
+)
+
+# Decode and print
+response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(response)
+```
+
+## 📂 Version History
+
+* **PyroNet-v1.5** — based on Microsoft phi-2
+
+* **PyroNet-v2** — upgraded to Qwen2.5-3B-Instruct with improved accuracy and longer context handling
+
+## ⚠️ License & Limitations
+
+This model is provided as is.
+It must **not** be used for:
+
+harmful or malicious activities
+
+generating unsafe or illegal content
+
+✦ Created by IceL1ghtning (Artyom, Ukraine)