Coderankembed Q8 0 GGUF

🚀 awhiteside/CodeRankEmbed-Q8_0-GGUF

This model is a GGUF - formatted conversion from nomic - ai/CodeRankEmbed, offering efficient and accessible code embedding capabilities.

🚀 Quick Start

This model was converted to GGUF format from nomic-ai/CodeRankEmbed using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

📦 Installation

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

💻 Usage Examples

Basic Usage

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo awhiteside/CodeRankEmbed-Q8_0-GGUF --hf-file coderankembed-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo awhiteside/CodeRankEmbed-Q8_0-GGUF --hf-file coderankembed-q8_0.gguf -c 2048

Advanced Usage

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.

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

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL = 1 flag along with other hardware - specific flags (for ex: LLAMA_CUDA = 1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo awhiteside/CodeRankEmbed-Q8_0-GGUF --hf-file coderankembed-q8_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo awhiteside/CodeRankEmbed-Q8_0-GGUF --hf-file coderankembed-q8_0.gguf -c 2048

📄 License

This project is licensed under the MIT license.