miscii 14b 1225 G G U F

Introduction

The MISCII-14B-1225-GGUF is a model developed by mradermacher, based on the sthenno-com/miscii-14b-1225 base model. It supports English and Chinese languages and uses the Transformers library. The model is licensed under Apache 2.0.

Architecture

This model has been quantized by mradermacher, offering various quantization types that differ in size and quality. These include Q2_K, Q3_K_S, Q4_K_S, and Q8_0, among others. The quantizations are sorted by size, with recommendations provided for specific use cases.

Training

Details about the training process are not provided in the document. However, the model is a quantized version of an existing base model, implying it has undergone further optimization for specific use cases.

Guide: Running Locally

1. Set Up Environment: Ensure you have the Hugging Face Transformers library installed.
2. Download the Model: Choose the appropriate GGUF file from the provided links based on your requirements for size and quality.
3. Load the Model: Use the Transformers library to load the model locally.
4. Execute Inference: Run your desired inference tasks using the loaded model.

For optimal performance, especially with larger quantized models, consider using cloud GPU providers such as AWS, Google Cloud, or Azure.

License

The MISCII-14B-1225-GGUF model is distributed under the Apache 2.0 license, allowing for broad use with minimal restrictions.