Transformer Lab

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Transformer Lab: An open - source platform for building, tuning, and running LLMs locally without coding. Download 100s of models, finetune across hardware, chat, evaluate, and more.0
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What is Transformer Lab?

Transformer Lab is your all-in-one, open-source workspace for advanced LLM engineering. Whether you're a researcher, developer, or AI enthusiast, this free tool empowers you to interact with, train, fine-tune, and evaluate large language models (LLMs) directly on your computer—no subscriptions or cloud dependencies required. With support for GPUs, TPUs, and Apple Silicon (M1, M2, M3), Transformer Lab is designed to be accessible, flexible, and powerful.

Key Features

💡 One-Click Access to Hundreds of Models
Download and use popular LLMs like Llama3, Phi3, Mistral, and Gemma with ease. You can also pull any model from Huggingface, giving you unparalleled flexibility.

🎯 Fine-Tune and Train Across Hardware
Fine-tune models using MLX on Apple Silicon or Huggingface on GPUs. Whether you're working locally or in the cloud, Transformer Lab adapts to your setup.

⚖️ Advanced Training Techniques
Experiment with RLHF (Reinforcement Learning from Human Feedback), DPO, ORPO, and SIMPO to optimize your models for specific tasks.

💬 Interactive Chat and Inference
Chat with models, tweak generation parameters, and use batch inference for testing. Preset prompts and chat history make experimentation seamless.

📚 Retrieval-Augmented Generation (RAG)
Drag and drop files to create RAG workflows, enabling your LLMs to interact with your documents. Works with MLX, Huggingface, and other engines.

📊 Evaluate and Compare Models
Test and benchmark LLMs to understand their performance and suitability for your use case.

🔌 Extend with Plugins
Customize Transformer Lab by writing your own plugins or using existing ones. The embedded Monaco code editor makes it easy to dive into the details.

Who Is Transformer Lab For?

  • AI Researchers:Experiment with cutting-edge training techniques like RLHF and preference optimization.

  • Developers:Fine-tune models for specific applications and deploy them across platforms.

  • AI Enthusiasts:Explore LLMs without needing expensive cloud resources.

Use Cases

  1. Custom Model Development
    Fine-tune an LLM for a specific task, like customer support or content generation, using your own dataset.

  2. Document Interaction with RAG
    Drag and drop PDFs or text files to create a chatbot that answers questions based on your documents.

  3. Model Evaluation and Comparison
    Test multiple LLMs to find the best fit for your application, whether it's for speed, accuracy, or cost-efficiency.

Why Choose Transformer Lab?

  • Free and Open Source:No hidden costs or subscriptions—just download and start using it.

  • Cross-Platform Compatibility:Works on Windows, macOS, and Linux, with support for Apple Silicon and GPUs.

  • Community-Driven:Contribute plugins, join the Discord community, and help shape the future of the tool.

Ready to Get Started?

The best way to learn about Transformer Lab is to dive in. Watch an end-to-end tutorial video, download the app, and start experimenting with LLMs on your own terms. Whether you're fine-tuning models, chatting with AI, or building custom datasets, Transformer Lab puts the power of advanced LLM engineering in your hands.

FAQ

Q: Do I need a GPU to use Transformer Lab?
A: While a GPU or TPU enhances performance, Transformer Lab also works on Apple Silicon (M1, M2, M3) using MLX.

Q: Can I use Transformer Lab in the cloud?
A: Yes! You can run the UI locally while the engine runs on a remote or cloud machine.

Q: Is Transformer Lab beginner-friendly?
A: Absolutely. With one-click downloads, preset prompts, and drag-and-drop functionality, it’s designed to be accessible for users of all skill levels.

Transform the way you work with LLMs. Download Transformer Lab today and take your AI projects to the next level.


More information on Transformer Lab

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Transformer Lab was manually vetted by our editorial team and was first featured on September 4th 2025.
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Transformer Lab Alternatives

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  2. Ongoing research training transformer models at scale

  3. LM Studio is an easy to use desktop app for experimenting with local and open-source Large Language Models (LLMs). The LM Studio cross platform desktop app allows you to download and run any ggml-compatible model from Hugging Face, and provides a simple yet powerful model configuration and inferencing UI. The app leverages your GPU when possible.

  4. LLaMA Factory is an open-source low-code large model fine-tuning framework that integrates the widely used fine-tuning techniques in the industry and supports zero-code fine-tuning of large models through the Web UI interface.

  5. The LlamaEdge project makes it easy for you to run LLM inference apps and create OpenAI-compatible API services for the Llama2 series of LLMs locally.