L La M A Mesh Q6_ K G G U F

Introduction

The LLaMA-Mesh-Q6_K-GGUF is a model converted to GGUF format from the original LLaMA-Mesh model by Zhengyi, using llama.cpp via the GGUF-my-repo. It is designed for text generation and leverages the capabilities of the transformers library.

Architecture

The model is based on the LLaMA architecture and has been optimized for use with the GGUF format, facilitating efficient text generation. It supports mesh-generation and llama-cpp functionalities.

Training

Training specifics are not detailed in this summary. For comprehensive training information, refer to the original model card of Zhengyi's LLaMA-Mesh on Hugging Face.

Guide: Running Locally

Prerequisites

• Install llama.cpp via Homebrew (for Mac and Linux):

  brew install llama.cpp
  

Running the Model

Using Command Line Interface (CLI)

1. Run the CLI:

   llama-cli --hf-repo CronoBJS/LLaMA-Mesh-Q6_K-GGUF --hf-file llama-mesh-q6_k.gguf -p "The meaning to life and the universe is"
   

Using Server

1. Start the server:

   llama-server --hf-repo CronoBJS/LLaMA-Mesh-Q6_K-GGUF --hf-file llama-mesh-q6_k.gguf -c 2048
   

Alternative Setup

1. Clone the repository:

   git clone https://github.com/ggerganov/llama.cpp
   

2. Build the project (example for Nvidia GPUs on Linux):

   cd llama.cpp && LLAMA_CURL=1 LLAMA_CUDA=1 make
   

3. Run inference with the CLI or server:

   ./llama-cli --hf-repo CronoBJS/LLaMA-Mesh-Q6_K-GGUF --hf-file llama-mesh-q6_k.gguf -p "The meaning to life and the universe is"
   

   ./llama-server --hf-repo CronoBJS/LLaMA-Mesh-Q6_K-GGUF --hf-file llama-mesh-q6_k.gguf -c 2048
   

Cloud GPU Recommendations

Consider using cloud GPU services like AWS, Azure, or Google Cloud for enhanced performance and scalability when running the model.

License

The LLaMA-Mesh-Q6_K-GGUF is distributed under the llama3.1 license. Users should review the license terms to ensure compliance.