Bge Reranker V2 Gemma IQ4 NL GGUF

🚀 zimajava/bge-reranker-v2-gemma-IQ4_NL-GGUF

This model is a conversion to the GGUF format from the original model, aiming to provide efficient and convenient text classification capabilities.

🚀 Quick Start

This model was converted to GGUF format from BAAI/bge-reranker-v2-gemma using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

✨ Features

• Multilingual Support: Supports multiple languages, suitable for a wide range of text classification tasks.
• GGUF Format: Converted to the GGUF format, which can be used with llama.cpp for efficient inference.

📦 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 zimajava/bge-reranker-v2-gemma-IQ4_NL-GGUF --hf-file bge-reranker-v2-gemma-iq4_nl-imat.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo zimajava/bge-reranker-v2-gemma-IQ4_NL-GGUF --hf-file bge-reranker-v2-gemma-iq4_nl-imat.gguf -c 2048

Advanced Usage

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 zimajava/bge-reranker-v2-gemma-IQ4_NL-GGUF --hf-file bge-reranker-v2-gemma-iq4_nl-imat.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo zimajava/bge-reranker-v2-gemma-IQ4_NL-GGUF --hf-file bge-reranker-v2-gemma-iq4_nl-imat.gguf -c 2048

📄 License

This model is licensed under the apache-2.0 license.

📚 Documentation