Sakura 14 B Qwen2.5 v1.0 G G U F

Introduction

Sakura-14B-Qwen2.5-v1.0-GGUF is a language model designed to improve translation accuracy, especially for pronouns and specialized terminology. It supports a glossary function to ensure consistency in translations and offers enhanced capabilities for retaining simple control characters. The model utilizes GQA technology, which improves inference speed and reduces memory usage, facilitating faster multithreaded inference.

Architecture

The model leverages GQA (Generalized Question Answering) technology to optimize its performance, particularly in terms of inference speed and memory efficiency. This makes it suitable for multithreaded processing, allowing for rapid and efficient translation tasks.

Training

The training process for this model focuses on enhancing translation quality, with particular improvements in the consistency and accuracy of pronoun usage. The model also emphasizes the ability to maintain simple control characters within translations, such as newline characters.

Guide: Running Locally

1. Setup Environment: Ensure your environment is ready with the necessary libraries and dependencies for running the model.
2. Acquire Model: Download the Sakura-14B-Qwen2.5-v1.0-GGUF model files from the Hugging Face repository.
3. Load Model: Use appropriate scripts or tools to load and initialize the model in your environment.
4. Inference: Execute inference tasks, utilizing the model's multithreaded capabilities for efficient processing.

For optimal performance, consider using cloud GPUs such as those offered by AWS, Google Cloud, or Azure.

License

This model is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (cc-by-nc-sa-4.0), allowing for sharing and adaptation with attribution, but not for commercial use.