---
title: Qwen3-Coder-Next Uncensored Fine-Tuning
emoji: "\U0001F525"
colorFrom: red
colorTo: yellow
sdk: docker
app_port: 7860
suggested_hardware: a100-large
suggested_storage: large
pinned: true
license: apache-2.0
---

# Qwen3-Coder-Next Uncensored Fine-Tuner

Fine-tune [Qwen/Qwen3-Coder-Next](https://huggingface.co/Qwen/Qwen3-Coder-Next) (80B MoE / 3B active) using QLoRA to remove refusal behavior.

## Setup

1. **Create a HF Space** with Docker SDK and `a100-large` hardware
2. **Add Secrets** in Space Settings:
   - `HF_TOKEN` — your Hugging Face write token
   - `WANDB_API_KEY` — (optional) for training metrics logging
3. **Upload this repo** to the Space
4. The Gradio UI will let you configure and launch training

## Features

- QLoRA 4-bit fine-tuning (fits on single A100 80GB)
- Multiple uncensored dataset options built-in
- Custom dataset upload support
- Real-time training metrics in UI
- One-click LoRA merge + push to Hub
- Abliteration support (no training needed)

## Hardware Requirements

| Method | VRAM | Recommended HF Hardware |
|--------|------|-------------------------|
| QLoRA 4-bit | ~45-60GB | A100 Large (80GB) |
| Abliteration | ~45-60GB | A100 Large (80GB) |