|
|
--- |
|
|
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). |
