Finetuned 1.5B Qwen to generate bash commands at gpt-4o level using 400k synthetic examples + Fully opensource finetune dataset

A developer has fine-tuned a 1.5B Qwen model to generate bash commands, achieving performance comparable to gpt-4o. This was accomplished using 400k synthetic examples and a largely automated training pipeline. The project, initially a hobby, has resulted in fully open-source finetune datasets and models, including ec-1.5b-gguf and ec-0.6b-gguf, available for public use and training.

This project demonstrates that a 1.5B Qwen model can achieve gpt-4o level performance for bash command generation, unlike larger models typically used for such tasks.