beyoru/SmallAgentQ2.5-1.1

General:

The model was trained to improve the output of the Qwen2.5-0.5B

SmallAgent is a compact transformer-based language model, fine-tuned from Qwen2.5-0.5B, aiming to enhance output quality for small-scale, edge-computing scenarios. It is optimized for running efficiently on devices with limited memory and compute capabilities.

Eval:

in process

Method:

Fine-tuned to improve coherence, reasoning, and factuality of the base Qwen2.5-0.5B model.

Dataset: update