Model Switching & First Real Use Cases in Newelle (with Ollama)
Date: September 6, 2025
Category: Uncategorized
Body
Following the creation of the practical model menu, the next step was to validate model switching in real use cases.
Tests Performed
- General Use (qwen2.5:7b-instruct)
- Tested with balanced reasoning prompts.
- Returned correct structured answers with cost-efficient local inference.
- Coding / Development (codellama:13b-instruct & codellama:7b-instruct)
- Used for programming-focused tasks.
- Successfully produced code snippets and explanations tailored for development.
- Fast / Lightweight (tinyllama:1.1b)
- Verified with quick utility prompts (e.g., short text transformations).
- Delivered rapid responses with minimal overhead.
Result
Switching between models worked seamlessly, with no need to reconfigure endpoints.
Each category could be activated on-demand, proving the menu setup is not only practical but also production-ready for everyday tasks.
This milestone confirms:
- Newelle + Ollama integration now supports real-world use.
- Switching between categories allows the system to optimize speed, accuracy, or programming context depending on the task.
📌 This achievement brings the workflow closer to a fully dynamic JARVIS AI Assistant, where the right model is automatically chosen based on intent.