bge-reranker-v2-m3-Q4_K_M-GGUF

This model was converted to GGUF format from BAAI/bge-reranker-v2-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.

Model Information

• Base Model: BAAI/bge-reranker-v2-m3
• Quantization: Q4_K_M
• Format: GGUF (GPT-Generated Unified Format)
• Converted with: llama.cpp

Quantization Details

This is a Q4_K_M quantization of the original model:

• F16: Full 16-bit floating point - highest quality, largest size
• Q8_0: 8-bit quantization - high quality, good balance
• Q4_K_M: 4-bit quantization with medium quality - smaller size, faster inference

Usage

This model can be used with llama.cpp and other GGUF-compatible inference engines.

# Example using llama.cpp
./llama-rerank -m bge-reranker-v2-m3-Q4_K_M.gguf

Model Files

Quantization	Use Case
F16	Maximum quality, largest size
Q8_0	High quality, good balance of size/performance
Q4_K_M	Good quality, smallest size, fastest inference

Citation

If you use this model, please cite the original model:

# See original model card for citation information

License

This model inherits the license from the original model. Please refer to the original model card for license details.

Acknowledgements

• Original model by the authors of BAAI/bge-reranker-v2-m3
• GGUF conversion via llama.cpp by ggml.ai
• Converted and uploaded by sinjab