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--- |
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license: apache-2.0 |
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language: |
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- en |
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pipeline_tag: text-classification |
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tags: |
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- coding |
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- code |
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- fyp |
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- free |
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- opensource |
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- powerful |
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- lite |
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- cheap |
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- agent |
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--- |
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# 🚀 omriX |
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**A well-trained small coding agent that is very quick.** |
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`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. |
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--- |
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## ✨ Key Features |
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- ⚡ **Fast inference** — optimized for quick responses |
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- 🧠 **Coding-focused** — tuned for programming and code-related tasks |
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- 📦 **Lightweight** — ~3 GB disk size |
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- 🔓 **Open source** — Apache-2.0 license |
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- 💸 **Cheap to run** — suitable for low-resource environments |
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- 🤖 **Agent-friendly** — works well as a small coding agent component |
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--- |
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## 🧩 Use Cases |
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- Code understanding & classification |
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- Lightweight coding assistants |
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- Student projects / FYPs |
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- Local developer tools |
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- Agent pipelines requiring fast, small models |
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- Prototyping and experimentation |
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--- |
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## 📥 Model Details |
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- **Model ID:** `xlelords/omriX` |
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- **License:** Apache-2.0 |
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- **Language:** English |
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- **Pipeline Tag:** Text Classification |
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- **Disk Size:** ~3 GB |
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- **Status:** Fully open-source |
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--- |
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## 🚀 Quick Start |
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Example usage with 🤗 Transformers: |
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```python |
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from transformers import AutoTokenizer, AutoModelForSequenceClassification |
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model_id = "xlelords/omriX" |
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tokenizer = AutoTokenizer.from_pretrained(model_id) |
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model = AutoModelForSequenceClassification.from_pretrained(model_id) |
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text = "Explain what this function does: def add(a, b): return a + b" |
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inputs = tokenizer(text, return_tensors="pt") |
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outputs = model(**inputs) |
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print(outputs.logits) |
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``` |
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> ⚠️ Note: The pipeline interface depends on your downstream setup. |
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> `omriX` is commonly used as a **component model inside agents** or custom pipelines. |
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--- |
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## 🛠️ Agent Integration |
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`omriX` is well-suited for use in lightweight agent frameworks such as: |
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- Custom Python agents |
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- Tool-calling pipelines |
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- smolagents-style workflows |
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- Local or edge deployments |
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Its small size and fast responses make it ideal for chaining with tools or running alongside other models. |
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--- |
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## 📄 License |
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This model is released under the **Apache-2.0 License**. |
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You are free to use, modify, distribute, and build upon it — even commercially. |
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--- |
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## 🤝 Contributing |
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Contributions are welcome! |
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Feel free to open issues or pull requests for: |
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- Documentation improvements |
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- Benchmarks |
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- Agent examples |
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- Optimized inference setups |
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--- |
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## ⭐ Final Notes |
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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. |
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Enjoy 🚀 |
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