Open Source Application for Advanced LLM Engineering: interact, train, fine-tune, and evaluate large language models on your own computer.

100% Open Source Toolkit for Large Language Models: Train, Tune, Chat on your own Machine
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Note: Transformer Lab is actively being developed. Please join our Discord or follow us on Twitter for updates. Questions, feedback and contributions are highly valued!

Transformer Lab is an app that allows anyone to experiment with Large Language Models.

Transformer Lab is proud to be supported by Mozilla through the Mozilla Builders Program

Transformer Lab allows you to:

• 💕 One-click Download Hundreds of Popular Models:
  • DeepSeek, Llama3, Qwen, Phi4, Gemma, Mistral, Mixtral, Command-R, and dozens more
• ⬇ Download any LLM from Huggingface
• 🎶 Finetune / Train Across Different Hardware
  • Finetune using MLX on Apple Silicon
  • Finetune using Huggingface on GPU
• ⚖️ RLHF and Preference Optimization
  • DPO
  • ORPO
  • SIMPO
  • Reward Modeling
• 💻 Work with LLMs Across Operating Systems:
  • Windows App
  • MacOS App
  • Linux
• 💬 Chat with Models
  • Chat
  • Completions
  • Preset (Templated) Prompts
  • Chat History
  • Tweak generation parameters
  • Batched Inference
  • Tool Use / Function Calling (in alpha)
• 🚂 Use Different Inference Engines
  • MLX on Apple Silicon
  • Huggingface Transformers
  • vLLM
  • Llama CPP
• 🧑‍🎓 Evaluate models
• 📖 RAG (Retreival Augmented Generation)
  • Drag and Drop File UI
  • Works on Apple MLX, Transformers, and other engines
• 📓 Build Datasets for Training
  • Pull from hundreds of common datasets available on HuggingFace
  • Provide your own dataset using drag and drop
• 🔢 Calculate Embeddings
• 💁 Full REST API
• 🌩 Run in the Cloud
  • You can run the user interface on your desktop/laptop while the engine runs on a remote or cloud machine
  • Or you can run everything locally on a single machine
• 🔀 Convert Models Across Platforms
  • Convert from/to Huggingface, MLX, GGUF
• 🔌 Plugin Support
  • Easily pull from a library of existing plugins
  • Write your own plugins to extend functionality
• 🧑‍💻 Embedded Monaco Code Editor
  • Edit plugins and view what's happening behind the scenes
• 📝 Prompt Editing
  • Easily edit System Messages or Prompt Templates
• 📜 Inference Logs
  • While doing inference or RAG, view a log of the raw queries sent to the LLM

And you can do the above, all through a simple cross-platform GUI.

Click here to download Transformer Lab.

Read this page to learn how to install and use.

To build the app yourself, pull this repo, and follow the steps below:

(Please note that the current build doesn't work on Node v23 but it works on v22)

npm install

npm start

To package apps for the local platform:

npm run package

Distributed under the AGPL V3 License. See LICENSE.txt for more information.

If you found Transformer Lab useful in your research or applications, please cite using the following BibTeX:

@software{transformerlab,
  author = {Asaria, Ali},
  title = {Transformer Lab: Experiment with Large Language Models},
  month = December,
  year = 2023,
  url = {https://github.com/transformerlab/transformerlab-app}
}

• @aliasaria - Ali Asasria
• @dadmobile - Tony Salomone