Captain Eris Diogenes_ Twilight V0.420 12 B i1 G G U F

Introduction

Captain-Eris-Diogenes_Twilight-V0.420-12B-i1-GGUF is a transformer-based model designed for conversational tasks. The model is developed by leveraging the capabilities of the GGUF library and optimized for English language tasks.

Architecture

The model is built on the Nitral-AI/Captain-Eris-Diogenes_Twilight-V0.420-12B base model. It is quantized using the GGUF library, which facilitates efficient storage and inference. Various quantization levels, such as IQ and Q types, are available, offering different trade-offs between model size and performance.

Training

The quantization of the model is performed by mradermacher, utilizing various quantization techniques like imatrix quants. For those interested in the training specifics or the quantization process, further details can be found on external resources linked in the documentation.

Guide: Running Locally

1. System Requirements: Ensure your system has the necessary hardware to run the model efficiently. Using a cloud GPU is recommended for optimal performance, with providers such as AWS, Google Cloud, or Azure offering suitable options.

2. Environment Setup: Install the necessary libraries, including transformers and GGUF. Ensure Python is installed and configured properly.

3. Downloading the Model: Access and download the desired quantized model files from the provided Hugging Face links.

4. Inference: Load the model using the transformers library and initiate inference tasks. Refer to TheBloke's READMEs for guidance on handling GGUF files and concatenating multi-part files if needed.

License

The model and its quantized versions are provided under specific terms and conditions. Users should refer to the linked resources for information on usage rights and any potential restrictions.