Bge Reranker Base Q8 0 GGUF

🚀 xinming0111/bge-reranker-base-Q8_0-GGUF

This model is a conversion to the GGUF format from the original model BAAI/bge-reranker-base. It was achieved using llama.cpp via the ggml.ai's GGUF-my-repo space. For more in - depth details about the model, refer to the original model card.

🚀 Quick Start

✨ Features

• This model is designed for text classification tasks.
• It has been evaluated on multiple datasets, showing good performance in reranking tasks.

📦 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 xinming0111/bge-reranker-base-Q8_0-GGUF --hf-file bge-reranker-base-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo xinming0111/bge-reranker-base-Q8_0-GGUF --hf-file bge-reranker-base-q8_0.gguf -c 2048

Advanced Usage

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

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 xinming0111/bge-reranker-base-Q8_0-GGUF --hf-file bge-reranker-base-q8_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo xinming0111/bge-reranker-base-Q8_0-GGUF --hf-file bge-reranker-base-q8_0.gguf -c 2048

📚 Documentation

🔧 Technical Details

The model was converted to GGUF format from BAAI/bge-reranker-base using llama.cpp via the ggml.ai's GGUF-my-repo space.

📄 License

This model is released under the MIT license.

📊 Model Performance