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README.md

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----
-license: other
-license_name: lfm1.0
-license_link: https://huggingface.co/LiquidAI/LFM2-350M/blob/main/LICENSE
----
+---
+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/LFM2-1.2B
+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/LFM2-1.2B](https://huggingface.co/LiquidAI/LFM2-1.2B), 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/LFM2-1.2B](https://huggingface.co/LiquidAI/LFM2-1.2B).  
+- **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/LFM2-1.2B](https://huggingface.co/LiquidAI/LFM2-1.2B).  
+- Built and trained with [**Madlab**](https://github.com/archimedes1618/madlab).