| | --- |
| | 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). |
