Update README.md

README.md

@@ -13,4 +13,108 @@ tags:
 - lite
 - cheap
 - agent
----
+---
+
+# 🚀 omriX
+
+**A well-trained small coding agent that is very quick.**
+
+`omriX` is a lightweight, open-source coding-focused model designed for speed, efficiency, and practical developer workflows. With a compact disk size of roughly **3 GB**, it’s ideal for local inference, low-cost deployments, and experimentation without heavy hardware requirements.
+
+---
+
+## ✨ Key Features
+
+- ⚡ **Fast inference** — optimized for quick responses  
+- 🧠 **Coding-focused** — tuned for programming and code-related tasks  
+- 📦 **Lightweight** — ~3 GB disk size  
+- 🔓 **Open source** — Apache-2.0 license  
+- 💸 **Cheap to run** — suitable for low-resource environments  
+- 🤖 **Agent-friendly** — works well as a small coding agent component  
+
+---
+
+## 🧩 Use Cases
+
+- Code understanding & classification  
+- Lightweight coding assistants  
+- Student projects / FYPs  
+- Local developer tools  
+- Agent pipelines requiring fast, small models  
+- Prototyping and experimentation  
+
+---
+
+## 📥 Model Details
+
+- **Model ID:** `xlelords/omriX`  
+- **License:** Apache-2.0  
+- **Language:** English  
+- **Pipeline Tag:** Text Classification  
+- **Disk Size:** ~3 GB  
+- **Status:** Fully open-source  
+
+---
+
+## 🚀 Quick Start
+
+Example usage with 🤗 Transformers:
+
+```python
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+
+model_id = "xlelords/omriX"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForSequenceClassification.from_pretrained(model_id)
+
+text = "Explain what this function does: def add(a, b): return a + b"
+
+inputs = tokenizer(text, return_tensors="pt")
+outputs = model(**inputs)
+
+print(outputs.logits)
+```
+
+> ⚠️ Note: The pipeline interface depends on your downstream setup.  
+> `omriX` is commonly used as a **component model inside agents** or custom pipelines.
+
+---
+
+## 🛠️ Agent Integration
+
+`omriX` is well-suited for use in lightweight agent frameworks such as:
+
+- Custom Python agents  
+- Tool-calling pipelines  
+- smolagents-style workflows  
+- Local or edge deployments  
+
+Its small size and fast responses make it ideal for chaining with tools or running alongside other models.
+
+---
+
+## 📄 License
+
+This model is released under the **Apache-2.0 License**.  
+You are free to use, modify, distribute, and build upon it — even commercially.
+
+---
+
+## 🤝 Contributing
+
+Contributions are welcome!  
+Feel free to open issues or pull requests for:
+
+- Documentation improvements  
+- Benchmarks  
+- Agent examples  
+- Optimized inference setups  
+
+---
+
+## ⭐ Final Notes
+
+If you’re looking for a **fast, cheap, and capable small coding agent**, `omriX` is built to get out of your way and let you ship.
+
+Enjoy 🚀