sinjab/bge-reranker-base-Q4_K_M-GGUF

bge-reranker-base-Q4KM-GGUF

This model was converted to GGUF format from BAAI/bge-reranker-base 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-base
• —Quantization: Q4KM
• —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-base-Q4_K_M.gguf

Model Files

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-base
• —GGUF conversion via llama.cpp by ggml.ai
• —Converted and uploaded by sinjab