Se Qwence 14 Bv4 i1 G G U F

Introduction

SeQwence-14Bv4-i1-GGUF is a quantized model based on the CultriX/SeQwence-14Bv4, optimized for various uses such as conversational AI and inference endpoints. This model supports English language processing and utilizes the transformers library.

Architecture

The model is a quantized version of the base model, CultriX/SeQwence-14Bv4, prepared by mradermacher using the GGUF format. It employs various quantization techniques, including weighted/imatrix quants, to optimize performance across different scenarios.

Training

Training information is not explicitly provided. However, the quantization process allows for reduced model size and increased efficiency, making it suitable for diverse applications with varying computational resources.

Guide: Running Locally

1. Download GGUF Files: Access and download the desired quantized files from the provided links in the repository. Choose based on the size and performance needs.

2. Set Up Environment: Ensure that you have the transformers library installed in your Python environment.

3. Run the Model: Load the model into your application using the transformers library, referencing the specific GGUF file path.

4. Utilize Cloud GPUs: For enhanced performance, especially with larger quantizations, consider using cloud GPU services such as AWS EC2, Google Cloud Platform, or Azure.

License

The model's usage is subject to the license agreements provided by the original base model, CultriX/SeQwence-14Bv4. Ensure compliance with all applicable terms when utilizing this quantized version.