A fine-tune of
Qwen2.5-3B-Instruct that writes job cover letters in the exact
prompt format used by the
resume-builder
desktop app. It is
conditioned on cover-letter templates — it follows whatever
template appears in its prompt, so new templates work without retraining — and is
grounded on retrieved résumé bullets (RAG) to avoid fabricating experience.
The app builds its own system/user prompt (RAG bullets + job description +
optional template) and applies the model's chat template; see
src-tauri/src/llm/prompt.rs
for the exact shape.
Distilled and QLoRA-fine-tuned entirely on
synthetic, non-personal data —
real public job descriptions paired with fictional candidate profiles, so the
model generalizes at inference instead of memorizing anyone's résumé. Full
pipeline:
training/.
Non-commercial use only. This is a derivative of Qwen2.5-3B-Instruct and is
distributed under the
Qwen Research License Agreement (see
LICENSE
and
NOTICE), which permits research and evaluation use only.
