DEDUPED Hot AI repos. Real use cases. What people build. Get the Monday 5

How to fine-tune a LoRA on your own chats or text with Textgen

Use the full install and the Training tab to train a LoRA, with resume support.

Short answer: Clone the repo and run the startup script for your OS, such as start_linux.sh, and select your GPU vendor; then open http://127.0.0.1:7860 in your browser; load a Transformers model and open the Training tab. All steps.

system. The full install needs about 10GB of disk space and downloads PyTorch.

Who it is forA hobbyist who wants a model that writes in their style.

The problemFine-tuning usually means writing training code.

The outcomeA LoRA adapter trained on your dataset.

What you need first

  • Windows, Linux or macOS
  • Python 3.9+ for the manual install, or a portable build
  • A GGUF model file from Hugging Face and enough RAM or VRAM for it

Steps

  1. Clone the repo and run the startup script for your OS, such as start_linux.sh, and select your GPU vendor
  2. Open http://127.0.0.1:7860 in your browser
  3. Load a Transformers model and open the Training tab
  4. Train a LoRA on multi-turn chat or raw text, resuming if interrupted

Prompt for your agent

Help me set up oobabooga/textgen with the one-click installer (start_linux.sh), load a Transformers model, and walk me through training a LoRA on <my text dataset> in the Training tab.

Caveat. This card is written from the oobabooga/textgen README, not from a test run by Deduped. Before you start, make sure you have Windows, Linux or macOS. Check the repo for newer instructions before you rely on these steps.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for oobabooga/textgen and "Fine-tune a LoRA on your own chats or text"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

Cursor, ChatGPT, others

Share: X LinkedIn Hacker News Email Copy link

Third-party repos we don't own. AI-written use cases can be wrong. Disclaimer