arissuga/aurum-brain-ai
arissuga/aurum-brain-ai is a 3.1 billion parameter instruction-tuned language model fine-tuned from Qwen2.5-1.5B-Instruct. Developed by arissuga, this model is specifically optimized for natural Indonesian language processing, advanced coding tasks across multiple languages, and intelligent conversational capabilities. It excels in web development contexts and problem-solving, making it suitable for AI agent applications.
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Aurum Brain AI Overview
arissuga/aurum-brain-ai is a 3.1 billion parameter language model, fine-tuned from the Qwen2.5-1.5B-Instruct base model. It leverages LoRA (r=16, alpha=32) for efficient adaptation, focusing on enhancing its performance in Indonesian language understanding, coding, and intelligent conversations. The model is continuously auto-trained daily using GitHub Actions on a dataset of over 68 Indonesian conversations.
Key Capabilities
- Natural Indonesian Language: Processes and generates highly natural and fluent Indonesian text.
- Coding Expertise: Proficient in multiple programming languages including Python, JavaScript, Rust, Go, and SQL.
- Web Development: Strong understanding and generation capabilities for web technologies like HTML, CSS, React, and Next.js.
- Problem Solving & Debugging: Capable of assisting with complex problem-solving and debugging tasks.
- AI Agent Functionality: Designed with capabilities suitable for integration into AI agent systems.
Good for
- Applications requiring robust Indonesian language interaction.
- Code generation and assistance for various programming languages.
- Web development tasks and front-end/back-end logic.
- Building intelligent agents that need problem-solving and conversational skills.