Cydonia v1.2 Magnum v4 22 B

Introduction

The Cydonia-v1.2-Magnum-v4-22B model is a text generation model resulting from the merger of two pre-trained language models. It is developed using the Mergekit tool and leverages the SLERP merge method. This model supports various applications in text generation and conversational AI.

Architecture

The Cydonia-v1.2-Magnum-v4-22B model architecture is based on a combination of two pre-existing models: TheDrummer/Cydonia-22B-v1.2 and anthracite-org/magnum-v4-22b. The architecture utilizes the capabilities of the Transformers library, which is designed for efficient text processing and generation.

Training

Training for this model involved merging the capabilities of the two base models using the SLERP merge method. The model configuration was specified using YAML, defining models, merge method, base model, and parameters for tuning. The merge process employed the bfloat16 data type for computations.

Guide: Running Locally

To run the Cydonia-v1.2-Magnum-v4-22B model locally, follow these steps:

1. Environment Setup:

   • Install the required Python packages, including the Transformers library.
   • Set up a virtual environment to manage dependencies.

2. Download Model:

   • Access the model files from the Hugging Face repository.
   • Load the model and tokenizer using the Transformers library.

3. Execution:

   • Utilize the model for text generation tasks by providing input sequences.
   • Process the output for your specific application.

For optimal performance, it is recommended to use cloud-based GPUs such as those provided by AWS or Google Cloud.

License

The Cydonia-v1.2-Magnum-v4-22B model is distributed under the MRL license. For more details, refer to the MRL license terms.