# Unsloth Framework Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/unsloth-framework
> Markdown URL: https://aitinkerers.org/technologies/unsloth-framework.md
> Technology record last updated: 2026-02-23T16:21:27Z
> Generated: 2026-10-24T07:59:34Z

Unsloth is the Python framework for Large Language Model fine-tuning: achieve 2x to 5x faster training with up to 80% less VRAM.

Unsloth is your accelerator for Large Language Model fine-tuning, built on a foundation of custom, handwritten GPU kernels in Triton. This optimization delivers serious performance: expect training speeds up to 5x faster than standard Hugging Face methods and a VRAM reduction of up to 80%. The framework supports popular open-source models like Llama 3.1, Mistral, and Gemma, making advanced LLM adaptation accessible even on limited hardware, such as a single consumer-grade GPU. It integrates seamlessly with the Hugging Face ecosystem, supporting QLoRA, full-finetuning, and one-line conversion to formats like GGUF for deployment.

- Official technology site: https://unsloth.ai/
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Can Identity be fine-tuned with QLoRA for an AI Vtuber?](https://quito.aitinkerers.org/talks/rsvp_ihNPM41KEw4)

- Event context: AI Tinkerers - Quito Primer Meetup (Abril) — 2025-04-24 — Quito
- Public talk page: https://quito.aitinkerers.org/talks/rsvp_ihNPM41KEw4

## Related Technologies

- [Llama 3](https://aitinkerers.org/technologies/llama-3) ([Markdown](https://aitinkerers.org/technologies/llama-3.md)) — 38 public demos
- [Python](https://aitinkerers.org/technologies/python) ([Markdown](https://aitinkerers.org/technologies/python.md)) — 686 public demos
- [PyTorch](https://aitinkerers.org/technologies/pytorch) ([Markdown](https://aitinkerers.org/technologies/pytorch.md)) — 274 public demos
- [QLoRA](https://aitinkerers.org/technologies/qlora) ([Markdown](https://aitinkerers.org/technologies/qlora.md)) — 4 public demos