
# 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.

{"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"}}
license:mit region:us
TAGS
#license-mit #region-us 


# 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@URL.

# 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@URL.
TAGS
#license-mit #region-us 
 # 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@URL.