Deep Seek V3 Base G G U F

Introduction

DeepSeek-V3-Base-GGUF is a quantized version of the DeepSeek-V3-Base model, developed using the Transformers library. It is designed for efficient inference in English language tasks and is compatible with inference endpoints.

Architecture

This model is based on the DeepSeek-V3-Base architecture and has been quantized to various levels to optimize size and performance. The quantized versions are sorted by size, with the aim of retaining quality while reducing the computational resources required.

Training

While specific training details are not provided, the model's base, DeepSeek-V3-Base, was likely trained on large-scale datasets to acquire its understanding of the English language. The quantization process was carried out by mradermacher to enhance efficiency.

Guide: Running Locally

1. Setup Environment: Ensure you have Python and the Transformers library installed.
2. Download Files: Choose the desired quantized version from the provided links and download all parts.
3. Concatenate Files: If the model files are in multiple parts, concatenate them as needed. Refer to TheBloke's README for detailed instructions.
4. Run Inference: Use a compatible inference script to run the model on your input data.

For optimal performance, using a cloud GPU service such as AWS, Google Cloud, or Azure is recommended, especially when dealing with larger quantized models.

License

The model and its quantized versions are available for use under the terms specified on the Hugging Face model page. Always ensure compliance with any licensing conditions when using or distributing the model.