| # GoPhos Quantized Model | |
| ## Overview | |
| This repository hosts the quantized version of the GoPhos model, specifically optimized for interpreting Sophos logs exported from Splunk. The model is available for easy integration and usage through the `mlx-lm` library, facilitating seamless log interpretation tasks. | |
| ## Model Description | |
| The GoPhos model has been quantized to improve its efficiency and reduce memory footprint while retaining its interpretational capabilities for Sophos logs. Through quantization, the model achieves faster inference times and reduced resource consumption, making it ideal for deployment in resource-constrained environments. | |
| ## Usage | |
| To utilize the quantized GoPhos model, follow these simple steps: | |
| 1. Install the `mlx-lm` library: | |
| ```bash | |
| pip install mlx-lm | |
| ``` | |
| 2. Load the model and tokenizer: | |
| ```python | |
| from mlx_lm import load, generate | |
| model, tokenizer = load("SadokBarbouche/gophos-quantized") | |
| ``` | |
| 3. Generate log interpretations: | |
| ```python | |
| response = generate(model, tokenizer, prompt="hello", verbose=True) | |
| ``` | |
| ## Evaluation | |
| The quantized GoPhos model has been evaluated for its interpretational accuracy and efficiency, demonstrating performance comparable to the original model while achieving faster inference times and reduced memory usage. | |
| ## Acknowledgements | |
| We extend our gratitude to the creators of the original GoPhos model for their pioneering work in log interpretation. Additionally, we thank the developers of the `mlx-lm` library for providing a convenient interface for model loading and generation. |