# Transformer Lab Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/transformer-lab
> Markdown URL: https://aitinkerers.org/technologies/transformer-lab.md
> Technology record last updated: 2026-03-12T06:37:44Z
> Generated: 2026-09-20T16:36:26Z

Transformer Lab is an open-source Machine Learning Research Platform: it unifies environment management, compute orchestration, and experiment tracking for frontier AI/ML workflows.

This platform streamlines advanced AI development (LLMs, Diffusion, Audio models) by replacing fragmented tooling—think brittle bash scripts and manual SLURM templates—with a single, unified structure. It standardizes environment management, coordinates compute resources (local, on-prem, or cloud), and provides automatic experiment tracking, logging hyperparameters, and metrics for every run. Specifically, the Lab supports production-ready techniques like DPO, ORPO, and SIMPO, ensuring your projects are reproducible and scalable at any size, eliminating setup overhead for distributed training.

- Official technology site: https://transformerlab.ai/
- Public AI Tinkerers demos and talks: 2
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Transformer Lab](https://waterloo.aitinkerers.org/talks/rsvp_0KXArJU6wf4)

I am planning to demo the steps to quickly train a model on your local computer using Transformer Lab. Transformer Lab is an open-source, cross-platform application that lets you run, train, tune, eval, RAG and quantize LLMs on your local machine, regardless of what your hardware setup is.

- Event context: AI Tinkerers - Waterloo February Meetup — 2025-02-11 — Waterloo
- Public talk page: https://waterloo.aitinkerers.org/talks/rsvp_0KXArJU6wf4

### [All the Trainingz, No Codez](https://toronto.aitinkerers.org/talks/rsvp_A7iVImRMxy0)

What if it was possible to train, finetune, and preference tune LLMs on your own computer using advanced methods including LoRA, DPO, ORPO, RLHF, etc without writing any code? Today we will demo advanced training of Large Language Models using a home computer using Transformer Lab.

- Event context: AI Tinkerers - Toronto - September 2024 Meetup — 2024-09-20 — Toronto
- Public talk page: https://toronto.aitinkerers.org/talks/rsvp_A7iVImRMxy0

## Related Technologies

- [BERT](https://aitinkerers.org/technologies/bert) ([Markdown](https://aitinkerers.org/technologies/bert.md)) — 179 public demos
- [BLOOM](https://aitinkerers.org/technologies/bloom) ([Markdown](https://aitinkerers.org/technologies/bloom.md)) — 115 public demos
- [DPO](https://aitinkerers.org/technologies/dpo) ([Markdown](https://aitinkerers.org/technologies/dpo.md)) — 1 public demo
- [GPT-3](https://aitinkerers.org/technologies/gpt-3) ([Markdown](https://aitinkerers.org/technologies/gpt-3.md)) — 191 public demos
- [GPT-4](https://aitinkerers.org/technologies/gpt-4) ([Markdown](https://aitinkerers.org/technologies/gpt-4.md)) — 529 public demos
- [Llama-2](https://aitinkerers.org/technologies/llama-2) ([Markdown](https://aitinkerers.org/technologies/llama-2.md)) — 227 public demos
- [LoRA](https://aitinkerers.org/technologies/lora) ([Markdown](https://aitinkerers.org/technologies/lora.md)) — 17 public demos
- [ORPO](https://aitinkerers.org/technologies/orpo) ([Markdown](https://aitinkerers.org/technologies/orpo.md)) — 1 public demo
- [PaLM 2](https://aitinkerers.org/technologies/palm-2) ([Markdown](https://aitinkerers.org/technologies/palm-2.md)) — 116 public demos
- [quantization](https://aitinkerers.org/technologies/quantization) ([Markdown](https://aitinkerers.org/technologies/quantization.md)) — 3 public demos
- [RAG](https://aitinkerers.org/technologies/rag) ([Markdown](https://aitinkerers.org/technologies/rag.md)) — 147 public demos
- [RLHF](https://aitinkerers.org/technologies/rlhf) ([Markdown](https://aitinkerers.org/technologies/rlhf.md)) — 4 public demos
- [RoBERTa](https://aitinkerers.org/technologies/roberta) ([Markdown](https://aitinkerers.org/technologies/roberta.md)) — 118 public demos