What it is
- Base: Qwen/Qwen2.5-7B-Instruct (Apache-2.0).
- Method: LoRA, 3 epochs, one rented A4000 GPU (86 minutes).
Training data
7,500 persona question–answer pairs (6,750 train / 750 validation), assembled from templates (opener × body ×
closer) by a program generator. The generator, including its templates, was written with the help of an AI
coding assistant. No model generated the rows at training time.
Evaluation
No pre-registered evaluation was published for this adapter.
More
License: MIT for the adapter; the base model is Apache-2.0. Author: Fahmi Ghani (fahmiwol@gmail.com).