Needle: 26M model distills Gemini's tool-calling into a tiny package

A new open-source model compresses Google's Gemini tool-calling capability into a 26M parameter model, making function calling feasible for resource-constrained environments. This matters to indie makers building AI features on minimal infrastructure—no need for large, expensive models just to handle structured API calls.