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license: other
license_name: lfm1.0
license_link: https://huggingface.co/LiquidAI/LFM2-350M/blob/main/LICENSE
datasets:
- Archi-medes/LabGuide_Preview
base_model:
- LiquidAI/LFM2-700M
base_model_relation: finetune
pipeline_tag: question-answering
---
# LabGuide Preview Model
## Model Summary
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](https://huggingface.co/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](https://huggingface.co/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](https://huggingface.co/LiquidAI/LFM2-700M).
- Built and trained with [**Madlab**](https://github.com/archimedes1618/madlab). |