Welcome to your guide on utilizing the NikolayKozloffNightyGurps-14b-v1.1-Q5_K_M-GGUF model. This model, converted from the AlexBefestNightyGurps-14b-v1.1 version using Hugging Face, is designed to provide a powerful platform for language processing. In this article, we’ll walk you through the steps of installation and usage.
Installation of Llama.cpp
The first step to accessing the NikolayKozloffNightyGurps model is to install llama.cpp. Follow the instructions below for an easy setup:
- Step 1: Open your terminal and enter the following command to install llama.cpp via Homebrew (works on Mac and Linux):
brew install llama.cpp
Invoking the Model
After installation, you can invoke the model either via Command Line Interface (CLI) or through the server.
Using the CLI
- Command:
llama-cli --hf-repo NikolayKozloffNightyGurps-14b-v1.1-Q5_K_M-GGUF --hf-file nightygurps-14b-v1.1-q5_k_m.gguf -p "The meaning to life and the universe is"
Using the Server
- Command:
llama-server --hf-repo NikolayKozloffNightyGurps-14b-v1.1-Q5_K_M-GGUF --hf-file nightygurps-14b-v1.1-q5_k_m.gguf -c 2048
Building Llama.cpp from GitHub
If you need the latest version, you can build llama.cpp from its GitHub repository by following these succinct steps:
- Step 1: Clone the repository:
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp LLAMA_CURL=1 make
Troubleshooting
If you run into issues while using the NikolayKozloffNightyGurps model, consider the following troubleshooting steps:
- Make sure you have Homebrew installed and updated to the latest version.
- Verify that all commands are entered correctly, particularly the file paths and flags.
- If using a GPU, ensure that CUDA is properly configured.
- Double-check the availability of the GGUF file in your specified directory.
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Conclusion
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