14 B Qwen2.5 Freya x1 i1 G G U F

Introduction

The 14B-Qwen2.5-Freya-x1-i1-GGUF model is a quantized version of the base model developed by Sao10K. It is intended for use in various conversational AI applications and is compatible with the Transformers library. This model has been quantized by mradermacher and offers a variety of quantization types to suit different needs and resources.

Architecture

The architecture of this model is based on the Transformers library, specifically designed for English language applications. The model employs imatrix quantization methods to optimize performance and efficiency, allowing for effective deployment in conversational AI tasks.

Training

The model was generated using a trainer, with quantization performed by mradermacher. The quantized models are sorted by size and quality, with various types available to balance performance and resource usage.

Guide: Running Locally

To run the model locally, follow these steps:

1. Install Dependencies: Ensure that you have Python and the Transformers library installed. You can install the Transformers library using pip:

   pip install transformers
   

2. Download the Model: Access and download the quantized model files from the Hugging Face repository.

3. Load the Model: Use the Transformers library to load the downloaded model files into your Python environment.

4. Inference: Run inference on your local machine. Consider using cloud GPUs for improved performance, such as those offered by AWS, Google Cloud, or Azure.

5. Usage Instructions: Refer to TheBloke's READMEs for detailed instructions on handling GGUF files and concatenating multi-part files if necessary.

License

The model is licensed under a proprietary license, referred to as the "qwen" license. For more details, you can view the license here.