structural_llama 🦙

Your AI Assistant for Structural Engineering 🏗️

Structural_Llama is a powerful language model fine-tuned to provide insights and assistance with structural engineering tasks. Whether you’re a student, practicing engineer, or researcher, Structural_Llama can help you:

• Understand complex concepts: Get in-depth explanations of structural design principles, analysis methods, failure modes, and code requirements. 📘

• Solve problems efficiently: Receive guidance on design calculations, optimization approaches, and troubleshooting structural issues. 💡

• Enhance your code: Get Python code suggestions (using NumPy, SciPy, and other relevant libraries) for analysis, visualization, and automating calculations. 💻

• Stay code-compliant: Get references to relevant design standards and regulations (AISC, ACI, CSA, Eurocode, etc.). 📚

• 📢 PSA: Do not rely on this model for creating correct structural calculations. It still has a long way to go! (note: the model is primed for Python, VS Code and Poetry; this can be easily modified).

Requirements 📋

• Model size: 7.4GB (llama3-8b)
• A GPU and some decent RAM are highly recommended for solid performance. 🖥️

Installation 💾

• You have a few options to get up and running. I recommend installing and managing through Open WebUI and using Docker to install, run and manage your models.

• See the GitHub repo for detailed steps on installation via Docker and other tools.

• If you just want the model, you can run:
  ollama run joreilly86/structural_llama

Key Capabilities 🔑

• Technical Expertise: Provides explanations tailored to structural engineering topics. 🏛️
• Code Integration: Understands and suggests Python code relevant to engineering problems. 🖥️
• Knowledge Access: References authoritative sources like design manuals and building codes. 📖
• Contextual Awareness: Considers code requirements and practical constructability when offering solutions. 🛠️

How to Use Structural_Llama 🤖

Ask questions, try to be precise and decompose your problems into small sequential steps for best results.

Example Interactions 💬

• Question: “How do I calculate the buckling capacity of a steel column?”
  • Potential Response: Provides a theoretical explanation, references AISC specifications, and potentially a Python code snippet for calculation.
• Prompt: [Provide a code snippet calculating bending stresses in a beam] “Can you optimize this code for readability and efficiency?”
  • Potential Response: Suggests refactoring, explains algorithm choice, and demonstrates improvements.

Important Notes 📝

• Structural_Llama is a tool, not a replacement for professional judgment. Always validate results and ensure compliance with local regulations.
• The model is continuously evolving. If you have feedback or suggestions, reach out at info@flocode.dev.

Get Started! 🚀

We’re excited to see how Structural_Llama helps you with your structural engineering projects!

For more Python engineering tips and insights 🐍

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James 🌊