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lxe/simple-llm-finetuner

Simple UI for LLM Model Finetuning observed · 2026-08-28

github.com/lxe/simple-llm-finetuner · Jupyter Notebook · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

30/100

  • Activity 0
  • Release rhythm 35
  • Longevity 90

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1260
  • days_rel: n/a
  • days_push: 986
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2054 stars · 131 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A beginner-friendly Gradio web UI for fine-tuning LLMs (LLaMA, GPT-2) using LoRA via the Hugging Face PEFT library on consumer NVIDIA GPUs. It lets users paste datasets, adjust training parameters, and run inference from the browser.

Use cases

  • fine-tune llama on my own dataset with a simple ui
  • train a language model with lora on a single gpu
  • beginner-friendly llm finetuning tool
  • run peft finetuning in google colab
  • customize an llm with a small training dataset

When to choose

  • you want a minimal, no-code UI to experiment with LoRA fine-tuning on a 16GB GPU or Colab T4

When to avoid

  • the project is explicitly dead and unmaintained - use LLaMA-Factory, unsloth, or text-generation-webui instead
  • you need production-grade or actively supported fine-tuning workflows
  • you lack an NVIDIA GPU or WSL/Linux environment

Facets

application · maturity abandoned

llm-training machine-learning gui large-language-models machine-learning artificial-intelligence python llm-finetuning lora peft gradio huggingface colab beginner-friendly linux gpu web-server

1 source

Member repositories

RepositoryRoleHealth v2
lxe/simple-llm-finetunermain30

For agents

markdown · JSON · MCP: product_card(name="lxe/simple-llm-finetuner")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem