DeepSeek-V3-BF16

Introduction

DeepSeek-V3-BF16 is an optimized variant of the original DeepSeek-V3 model, utilizing the BF16 data type for improved performance and efficiency. This model is part of the OpenSourceRelease project and is available on Hugging Face's platform.

Architecture

The model is based on the architecture of DeepSeek-V3, but it has been converted to use the BF16 (Brain Floating Point) format. This conversion aims to enhance computational speed and reduce memory usage while maintaining model accuracy.

Training

The conversion of the model to BF16 involves modifying the data representation to utilize Brain Floating Point precision, which is beneficial for both training and inference processes, particularly on hardware that supports BF16 operations.

Guide: Running Locally

To run DeepSeek-V3-BF16 locally, follow these steps:

1. Clone the Repository:

   git clone https://huggingface.co/opensourcerelease/DeepSeek-V3-bf16
   cd DeepSeek-V3-bf16
   

2. Install Dependencies: Ensure you have the necessary libraries installed, potentially using a package manager like pip.

3. Set Up Environment: Utilize a virtual environment to manage dependencies.

4. Download the Model: Use Hugging Face's tools to download the model weights.

5. Run the Model: Execute the model using your preferred framework.

   For optimal performance, consider using cloud services that offer GPU support, such as AWS, Google Cloud, or Azure, particularly those with BF16 capability.

License

The DeepSeek-V3-BF16 model and its associated files are available under an open-source license. For more detailed licensing information, please refer to the model's repository on Hugging Face.