🚀 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.

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✨ 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

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🧩 Use Cases

• Code understanding & classification
• Lightweight coding assistants
• Student projects / FYPs
• Local developer tools
• Agent pipelines requiring fast, small models
• Prototyping and experimentation

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📥 Model Details

• Model ID: xlelords/omriX
• License: Apache-2.0
• Language: English
• Pipeline Tag: Text Classification
• Disk Size: ~3 GB
• Status: Fully open-source

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🚀 Quick Start

Example usage with 🤗 Transformers:

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.

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🛠️ 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.

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📄 License

This model is released under the Apache-2.0 License.
You are free to use, modify, distribute, and build upon it — even commercially.

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🤝 Contributing

Contributions are welcome!
Feel free to open issues or pull requests for:

• Documentation improvements
• Benchmarks
• Agent examples
• Optimized inference setups

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⭐ 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 🚀