---
title: Wechat Style Sft
emoji: 🌍
colorFrom: yellow
colorTo: indigo
sdk: gradio
pinned: false
license: apache-2.0
short_description: QLoRA fine-tuning demo on WeChat essays for style adaptation
sdk_version: 5.46.1
---
# WeChat Style SFT (QLoRA) — Minimal Space

Steps:
1) Upload your two JSONLs into `data/`:
   - data/sft_train.jsonl
   - data/sft_val.jsonl
2) Start the Space with CPU Basic (free) to verify requirements install.
3) Switch to ZeroGPU / T4 in Settings → Hardware.
4) Tab "Train" → Start Training (default 500 steps, Qwen2.5-0.5B).
5) After training, a `lora_adapter/` dir is saved.
6) Switch back to CPU Basic; Tab "Inference" → Load → Generate.

Privacy/Compliance:
- Use your own copyrighted text only.
- Do not upload full articles to public repos.
- Keep this Space **Private** under NUS org.