Bge M3 Q8 0 GGUF

🚀 tinybiggames/bge-m3-Q8_0-GGUF

This model is converted to GGUF format, enabling efficient use in various applications for sentence similarity tasks.

🚀 Quick Start

This model was converted to GGUF format from BAAI/bge-m3 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

• Sentence Similarity: Ideal for tasks requiring sentence similarity calculations.
• Feature Extraction: Capable of extracting features from text.
• GGUF Format: Utilizes the efficient GGUF format for better performance.

📦 Installation

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

brew install llama.cpp

💻 Usage Examples

Use with llama.cpp

CLI:

llama-cli --hf-repo tinybiggames/bge-m3-Q8_0-GGUF --hf-file bge-m3-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo tinybiggames/bge-m3-Q8_0-GGUF --hf-file bge-m3-q8_0.gguf -c 2048

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 tinybiggames/bge-m3-Q8_0-GGUF --hf-file bge-m3-q8_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo tinybiggames/bge-m3-Q8_0-GGUF --hf-file bge-m3-q8_0.gguf -c 2048

📄 License

This project is licensed under the MIT license.