wiroai turkish llm 8b

Introduction

The Wiro AI Turkish Large Language Model (LLM) is a beta version developed to process and generate text in Turkish. This model has been trained on a dataset of over 1.5 million high-quality question-answer pairs, ensuring accurate and relevant responses tailored to the Turkish language.

Architecture

The model architecture details are being refined and will be shared in future updates. It is based on state-of-the-art performance techniques to ensure robust language understanding and generation capabilities, specifically optimized for Turkish.

Training

The Wiro AI LLM has been trained on a meticulously curated dataset that enhances its accuracy and relevance. The training process focuses on capturing the nuances of the Turkish language, leveraging a diverse set of data sources to build a comprehensive model. Detailed documentation on the training process is expected in subsequent releases.

Guide: Running Locally

To run the Wiro AI Turkish LLM locally, follow these steps:

1. Install Dependencies: Ensure that you have Python and the transformers library installed.
2. Download the Model: Access the model files from the Wiro AI repository.
3. Set Up Environment: Configure your environment to support text generation tasks.
4. Run Inference: Use the model for text generation tasks in Turkish.

For optimal performance, it is recommended to use a cloud GPU service like AWS, Google Cloud, or Azure to handle the processing load.

License

The licensing information for the Wiro AI Turkish LLM is not specified in the document. Please refer to the official Wiro AI website or contact their support for detailed licensing terms.