--- license: apache-2.0 language: - en pipeline_tag: text-classification tags: - coding - code - fyp - free - opensource - powerful - lite - cheap - agent --- # πŸš€ 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** β€” optimized for quick responses - 🧠 **Coding-focused** β€” tuned for programming and code-related tasks - πŸ“¦ **Lightweight** β€” ~3 GB disk size - πŸ”“ **Open source** β€” Apache-2.0 license - πŸ’Έ **Cheap to run** β€” suitable for low-resource environments - πŸ€– **Agent-friendly** β€” 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 --- ## πŸ“₯ Model Details - **Model ID:** `xlelords/omriX` - **License:** Apache-2.0 - **Language:** English - **Pipeline Tag:** Text Classification - **Disk Size:** ~3 GB - **Status:** Fully open-source --- ## πŸš€ Quick Start Example usage with πŸ€— 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. --- ## πŸ› οΈ 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. --- ## πŸ“„ License This model is released under the **Apache-2.0 License**. You are free to use, modify, distribute, and build upon it β€” 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 πŸš€