base on Open Source Application for Advanced LLM Engineering: interact, train, fine-tune, and evaluate large language models on your own computer. <div align="center"> <a href="https://transformerlab.ai"><picture> <source media="(prefers-color-scheme: dark)" srcset="https://raw.githubusercontent.com/transformerlab/transformerlab-app/refs/heads/main/assets/Transformer-Lab_Logo_Reverse.svg"> <source media="(prefers-color-scheme: light)" srcset="https://raw.githubusercontent.com/transformerlab/transformerlab-app/refs/heads/main/assets/Transformer-Lab_Logo.svg"> <img alt="transformer lab logo" src="https://raw.githubusercontent.com/transformerlab/transformerlab-app/refs/heads/main/assets/Transformer-Lab_Logo.svg" style="max-width: 650px"> </picture></a> <p align="center"> 100% Open Source Toolkit for Large Language Models: Train, Tune, Chat on your own Machine <br /> <a href="https://transformerlab.ai/docs/download/"><strong>Download</strong></a> · <a href="https://transformerlab.ai/docs/intro"><strong>Explore the docs »</strong></a> <br /> <br /> <a href="https://youtu.be/tY5TAvKviLo">View Demo</a> · <a href="https://github.com/transformerlab/transformerlab-app/issues">Report Bugs</a> · <a href="https://github.com/transformerlab/transformerlab-app/issues/new">Suggest Features</a> · <a href="https://discord.gg/transformerlab">Join Discord</a> · <a href="https://twitter.com/transformerlab">Follow on Twitter</a> </p> <p align="center"> 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!</p> </div> <!-- ABOUT THE PROJECT --> ## Download Now [![Download Icon]][Download URL] ## About The Project  Transformer Lab is an app that allows anyone to experiment with Large Language Models. ## Backed by Mozilla Transformer Lab is proud to be supported by Mozilla through the <a href="https://future.mozilla.org/builders/">Mozilla Builders Program</a> <a href="https://future.mozilla.org/builders/"> <img src="https://transformerlab.ai/img/mozilla-builders-2024.png" alt="Mozilla Builders Logo" width=300> </a> ## Features 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. <!-- GETTING STARTED --> ## Getting Started <a href="https://transformerlab.ai/docs/download">Click here</a> to download Transformer Lab. <a href="https://transformerlab.ai/docs/intro">Read this page</a> to learn how to install and use. ### Built With - [![Electron][Electron]][Electron-url] - [![React][React.js]][React-url] - [![HuggingFace][HuggingFace]][HuggingFace-url] ## Developers ### Building from Scratch 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) ```bash npm install ``` ```bash npm start ``` ## Packaging for Production To package apps for the local platform: ```bash npm run package ``` <!-- LICENSE --> ## License Distributed under the AGPL V3 License. See `LICENSE.txt` for more information. ## Reference 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} } ``` <!-- CONTACT --> ## Contact - [@aliasaria](https://twitter.com/aliasaria) - Ali Asasria - [@dadmobile](https://github.com/dadmobile) - Tony Salomone <!-- MARKDOWN LINKS & IMAGES --> [product-screenshot]: https://transformerlab.ai/assets/images/screenshot01-53ecb8c52338db3c9246cf2ebbbdc40d.png [React.js]: https://img.shields.io/badge/React-20232A?style=for-the-badge&logo=react&logoColor=61DAFB [React-url]: https://reactjs.org/ [Electron]: https://img.shields.io/badge/Electron-20232A?style=for-the-badge&logo=electron&logoColor=61DAFB [Electron-url]: https://www.electronjs.org/ [HuggingFace]: https://img.shields.io/badge/🤗_HuggingFace-20232A?style=for-the-badge [HuggingFace-url]: https://huggingface.co/ [Download Icon]: https://img.shields.io/badge/Download-EF2D5E?style=for-the-badge&logoColor=white&logo=DocuSign [Download URL]: https://transformerlab.ai/docs/download ", Assign "at most 3 tags" to the expected json: {"id":"12884","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"