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  • What is Langtrain
  • Quick start
  • Installation
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Introduction

Langtrain is a comprehensive platform for building, fine-tuning, and deploying sovereign AI agents and models.

  • Visual IDE
  • Sovereign LoRA
  • Agentic CV
  • Python SDK

The Langtrain Ecosystem

Langtrain provides a complete suite of tools for modern AI development, allowing you to train custom models and orchestrate complex agents without compromising data privacy. Our ecosystem consists of four core pillars:
1. Langtrain Studio: A desktop app for managing datasets and fine-tuning runs.2. Langtune: An open-source Python library for fine-tuning text models on your own GPU.3. Langvision: An open-source Python library for fine-tuning vision-language models.4. Langtrain SDK: Python and TypeScript clients for the Langtrain API.

Langtrain Studio

Studio is a native desktop app for your Langtrain account, available for Windows and Linux.
  • –Datasets: Upload and organise training files.
  • –Fine-tuning runs: Start a run and follow its metrics and logs as it trains.
  • –Secure sign-in: Authenticator-app sign-in, with credentials kept in the system keychain.

Langtune

Langtune is an open-source (MIT) Python library for parameter-efficient fine-tuning of text models such as Llama, Mistral, Qwen and Phi.
  • –Methods: LoRA, QLoRA, DoRA, IA³ and prefix tuning, plus DPO, ORPO and KTO for preference training.
  • –Runs locally: Training happens on your GPU; it only goes to the cloud when a Langtrain API key is set.
  • –Install: pip install "langtrain-ai[train]" langtune.

Langvision

Langvision is an open-source (MIT) Python library for fine-tuning vision-language models on your own images and text.
  • –Models: LLaVA, Qwen-VL, InternVL, CogVLM and Phi-3 Vision.
  • –Data: One JSON line per image, with the conversation about it.
  • –Export: Save the trained model as ONNX or safetensors.
  • –Install: pip install langvision, or pip install langtrain-ai[vision].

Supported models

Open text models from Hugging Face that Transformers and PEFT support, such as Llama, Mistral, Qwen, Gemma and Phi, and the vision-language models listed above for Langvision. See Models for choosing one.

Next Steps

Ready to get started?
  • –Quick start - Train your first model
  • –Langtune - Fine-tune on your own GPU
  • –Langvision - Fine-tune a vision-language model
  • –Langtrain Studio - Download the desktop app
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