SEMIKONG-8B-GPTQ

Introduction

SEMIKONG-8B-GPTQ is a text generation model designed to work with the Transformers library. It is optimized for conversational tasks and supports 4-bit precision using the GPTQ method for efficient inference.

Architecture

The model leverages the LLaMA architecture to facilitate high-performance text generation and conversational AI applications. It utilizes the Safetensors library for secure tensor handling and supports inference endpoints for deployment.

Training

Details about specific training methodologies are not provided. However, the model is likely pre-trained on large datasets to ensure a robust understanding of language patterns and conversational cues.

Guide: Running Locally

To run SEMIKONG-8B-GPTQ locally, follow these steps:

1. Install the necessary libraries, including Transformers and Safetensors.
2. Clone the SEMIKONG-8B-GPTQ repository from Hugging Face.
3. Load the model using the Transformers library.
4. Execute text generation tasks using pre-defined scripts or custom code.

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

License

This model is licensed under the Apache 2.0 License, allowing for both personal and commercial use with proper attribution.