M.E.F LLM Studio
DEENRO

Getting started

Your first run starts with small steps.

Plan the setup before training. You can skip the training environment initially and read the learning chapters.

Toerken, the M.E.F LLM Studio mascot
  1. 01

    Read the alpha terms

    The alpha is for non-commercial evaluation only. The installer requires acceptance of the EULA.

  2. 02

    Get to know the app

    Open the learning chapters. The Visual Explorer requires Microsoft WebView2 Runtime. If it is missing, the app provides a Microsoft download link.

  3. 03

    Set up the training environment

    Review packages, sources and disk space. Python and PyTorch download only after your separate confirmation.

  4. 04

    Try a linked model

    Link a supported Safetensors model and choose CPU, NVIDIA GPU or A/B. Check its memory needs before loading.

  5. 05

    Start small

    Use a small dataset and a short test run first. Batch size, sequence length and model size need to fit your graphics card.

  6. 06

    Back up and compare

    Keep independent backups. Explore a checkpoint before planning larger runs.

Your work is not a temporary file.

The app restores inputs, chat history, form values and editor drafts after a restart. They are stored unencrypted in the local app-data area and can be cleared in Settings. Source files and A/B results are saved only when you choose to. The environment, models and datasets remain separate.