mxbai-rerank-large-v2-F16-GGUF

mxbai-rerank-large-v2-F16-GGUF

This model was converted to GGUF format from mixedbread-ai/mxbai-rerank-large-v2 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: mixedbread-ai/mxbai-rerank-large-v2
• Quantization: F16
• Format: GGUF (GPT-Generated Unified Format)
• Converted with: llama.cpp

Quantization Details

This is a F16 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 mxbai-rerank-large-v2-F16.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 mixedbread-ai/mxbai-rerank-large-v2
• GGUF conversion via llama.cpp by ggml.ai
• Converted and uploaded by sinjab