Midnight Miqu 70 B v1.5 i1 G G U F

Introduction

The Midnight-Miqu-70B-v1.5-i1-GGUF model is an English-language transformer model hosted on Hugging Face, quantized by the user mradermacher. It is designed for use with the GGUF library and is optimized for various use cases including conversational AI.

Architecture

The model is based on the sophosympatheia/Midnight-Miqu-70B-v1.5 architecture and has been quantized by mradermacher using weighted/imatrix methods. The quantization process allows for different model sizes and quality levels, ranging from 14.6 GB to 56.7 GB.

Training

The model has been trained using a combination of static and dynamic quantization techniques, optimized for different performance needs. The quantization categories include IQ and Q types, with specific variants optimized for size and speed.

Guide: Running Locally

1. Prerequisites: Ensure you have the Hugging Face Transformers library installed.
2. Download Model: Choose the appropriate quantized model file based on your resource constraints from the provided links.
3. Load Model: Use the Transformers library to load the model file into your environment.
4. Inference: Run inference using the model for your specific application, such as conversational AI.

For optimal performance, consider using cloud GPUs such as those offered by AWS or Google Cloud for handling larger model sizes.

License

The model is distributed under an "other" license. Please refer to the Hugging Face model card for specific licensing terms and conditions.