Letta o1 i1 G G U F

Introduction

LETTA-O1-I1-GGUF is a model developed by mradermacher, based on the base model minchyeom/Letta-o1. This model is available in the Transformers library and provides various quantized versions for efficient deployment. The primary language supported is English. The model is released under the Apache-2.0 license.

Architecture

The model architecture includes weighted and imatrix quantizations derived from the minchyeom/Letta-o1 base model. Static quantizations are also available, offering different sizes and quality levels to suit various use cases and performance requirements.

Training

The model quantizations are provided in various configurations, each sorted by size rather than quality. The quantization types include IQ1, IQ2, IQ3, IQ4, and Q4, indicating different levels of model compression and performance trade-offs.

Guide: Running Locally

1. Clone the Repository:
   Use the Hugging Face model card to access the files and clone the repository to your local machine.

2. Install Dependencies:
   Ensure you have the Transformers library installed. Use:

   pip install transformers
   

3. Download Model Files:
   Choose the appropriate GGUF file from the provided quantizations based on your performance needs and download it.

4. Run the Model:
   Load and run the model using your Python environment. For larger models, consider using a cloud GPU for better performance.

5. Cloud GPU Recommendation:
   Services like AWS EC2, Google Cloud Platform, or Azure can provide GPUs to facilitate more efficient model inferencing, especially for larger quantized files.

License

The LETTA-O1-I1-GGUF model is distributed under the Apache-2.0 License, permitting use, distribution, and modification under the terms of this license.