Captain Eris_ Twighlight V0.420 12 B G G U F A R M Imatrix

Introduction

Captain-Eris_Twighlight-V0.420-12B-GGUF-ARM-Imatrix is a model fine-tuned for various applications such as roleplay and conversational AI. It is part of the GGUF model library and supports English language tasks, offering unique features for specific use cases like SillyTavern.

Architecture

The model is based on the Nitral-AI/Captain-Eris_Twighlight-V0.420-12B architecture. It incorporates the GGUF ARM Imatrix quantization technique, enhancing its performance for specific hardware configurations. The model is tagged under categories such as mistral, roleplay, conversational, and sillytavern, indicating its versatility in handling diverse interaction scenarios.

Training

Recent updates have introduced "v2" quants, which include new tokenizer settings to address previous generation issues. The training process emphasizes improving endless generation and other conversational capabilities, ensuring the model's responses are coherent and contextually relevant.

Guide: Running Locally

To run the Captain-Eris model locally, follow these steps:

1. Install Dependencies: Ensure you have the necessary library dependencies installed, preferably using a virtual environment.
2. Download the Model: Access the model files from the provided Hugging Face repository link.
3. Set Up Environment: Configure your environment to match the recommended settings, such as those in the SillyTavern presets.
4. Run Inference: Use a Python script or Jupyter notebook to load the model and test its capabilities.

For optimal performance, consider using cloud GPUs from providers like AWS, Google Cloud, or Azure, which offer powerful computational resources to handle the model's requirements.

License

The model is distributed under the standard licensing terms outlined by the Hugging Face platform. Users must comply with these terms when using the model for personal or commercial purposes.