Samantha v6 Q4_ K_ M G G U F

Introduction

Samantha-v6-Q4_K_M-GGUF is a model adapted to the GGUF format using the original Samantha-v6 model. This transformation was completed using llama.cpp via the ggml.ai's GGUF-my-repo space. For further details, consult the original model card.

Architecture

The model utilizes the infrastructure provided by the Transformers library, supporting various features such as conversational interfaces. It is integrated with llama.cpp to facilitate usage in both CLI and server environments.

Training

The model was converted to the GGUF format using the llama.cpp framework. The specifics of the training process are not detailed, but interested users can refer to the original Samantha-v6 model for in-depth training information.

Guide: Running Locally

1. Install llama.cpp

   • Use Homebrew for installation on Mac and Linux:

     brew install llama.cpp
     

2. Invoke via CLI or Server

   • CLI Example:

     llama-cli --hf-repo Guilherme34/Samantha-v6-Q4_K_M-GGUF --hf-file samantha-v6-q4_k_m.gguf -p "The meaning to life and the universe is"
     

   • Server Example:

     llama-server --hf-repo Guilherme34/Samantha-v6-Q4_K_M-GGUF --hf-file samantha-v6-q4_k_m.gguf -c 2048
     

3. Alternative Usage

   • Follow steps in the llama.cpp GitHub repository for additional usage options.

4. Cloud GPUs

   • Consider using cloud services with GPU support like AWS, GCP, or Azure for enhanced performance, especially for large-scale tasks.

License

The licensing details for the Samantha-v6-Q4_K_M-GGUF model are not explicitly provided in the summary. For comprehensive licensing information, refer to the model's original documentation or the Hugging Face repository.