The LabGuide Preview Model is a demonstration release built entirely with Madlab, using its synthetic dataset generator and training workflow.
It is based on LiquidAI/LFM2-700M, adapted to showcase Madlab’s end-to-end capabilities for dataset creation, model training, and assistant deployment.

This model illustrates how applications can leverage Madlab to train their own assistants in a reproducible and accessible way.
It is not intended for production use, but rather as a preview for contributors, collaborators, and community feedback.

Training Data

Source: Synthetic dataset generated entirely with Madlab’s dataset generator.
Purpose: Designed to demonstrate Madlab’s ability to produce structured, reproducible training data.
Scope: Preview-scale dataset, not representative of real-world or production-ready corpora.

Training Process

Framework: Madlab training pipeline.
Base Model: LiquidAI/LFM2-700M.
Workflow: Synthetic dataset generation → Madlab training loop → Magic Judge Evaluation → Preview model release.
Objective: Demonstrate Madlab’s integrated workflow for building application-specific assistants.

Intended Uses

Contributor onboarding and workflow validation.
Demonstration of Madlab’s synthetic dataset generator and training pipeline.
Benchmarking and experimentation in controlled preview settings.

Limitations

Demo-only: Not suitable for production or deployment in real-world applications.
Synthetic data: Training data is fully synthetic and may not reflect natural language distributions.
Preview scale: Model performance is illustrative, not optimized for accuracy or robustness.

Ethical Considerations

This model is provided for demonstration and educational purposes.
It should not be used in applications where accuracy, safety, or reliability are critical.
Contributors are encouraged to treat outputs as illustrative examples only.

Acknowledgements

Base model: LiquidAI/LFM2-700M.
Built and trained with Madlab.