---
license: mit

ScoLAM_01:
  description: "ScoLAM 01 has been trained over 100,000 high-quality French language samples with a focus on data bias, grammar, and overall language/writing capacities of the model."
  training_environment: 
    hardware: "Nvidia GPU"
    platform: "Vertex AI"
  base_model: "Llama2-70B-Chat-HF"
  dataset: "private dataset"
  added_value: 
    - "French Language"
    - "English Language"
    - "Writing"
    - "Content Creation"
    - "Data Bias Reduction"
    - "Cybersecurity prediction"
    

contact:
  email: "team@theschooly.tech"
---

# ScoLaM_01

This model card provides a detailed overview of the ScoLaM_01 model, trained for enhanced language processing and content creation in French, with a particular focus on reducing data bias.

## Model Details

### Model Description

ScoLaM_01 is a state-of-the-art language model designed for various applications in French language processing, including writing enhancement and content creation. The model has been trained with a specific emphasis on addressing data bias, improving grammatical accuracy, and enhancing the overall language and writing capabilities.

- **Developed by:** The Schooly Tech Team
- **Model type:** Language Processing
- **Language(s) (NLP):** French ,English 
- **License:** MIT
- **Finetuned from model:** Llama2-70B-Chat-HF

## Uses

### Direct Use

ScoLaM_01 is designed for direct application in language processing tasks, such as content creation, text analysis, and educational purposes in the French language.

### Out-of-Scope Use

The model is not intended for use in languages other than French, or for tasks that require understanding of cultural nuances or context-specific jargon.

## Bias, Risks, and Limitations

The model has been trained to reduce data bias; however, users should be aware of the inherent limitations and potential biases in any language model.

### Recommendations

Users should critically evaluate the model's outputs, especially in sensitive or nuanced contexts. Regular updates and feedback will be essential for continuous improvement.

## Training Details

### Training Data

The model was trained on over 100,000 high-quality French language samples from a private dataset.

### Training Procedure

#### Training Hyperparameters

- **Training regime:** Details on the specific training regime will be added upon further validation and testing.

## Environmental Impact

- **Hardware Type:** Nvidia GPU
- **Cloud Provider:** Vertex AI
- **Compute Region:** [Region Information Needed]
- **Carbon Emitted:** Estimations will be made using the Machine Learning Impact calculator.

## Technical Specifications

### Compute Infrastructure

- **Hardware:** Nvidia GPU
- **Software:** Vertex AI , AI Azure Studio , AWS Sage , Langchain

For more information, please feel free to reach out to us at team@theschooly.tech.