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README.md
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---
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language:
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- en
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license: apache-2.0
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library_name: gguf
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tags:
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- reranker
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- gguf
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- llama.cpp
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base_model: mixedbread-ai/mxbai-rerank-large-v2
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---
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# mxbai-rerank-large-v2-F16-GGUF
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This model was converted to GGUF format from [mixedbread-ai/mxbai-rerank-large-v2](https://huggingface.co/mixedbread-ai/mxbai-rerank-large-v2) using llama.cpp via the ggml.ai's GGUF-my-repo space.
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Refer to the [original model card](https://huggingface.co/mixedbread-ai/mxbai-rerank-large-v2) for more details on the model.
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## Model Information
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- **Base Model**: [mixedbread-ai/mxbai-rerank-large-v2](https://huggingface.co/mixedbread-ai/mxbai-rerank-large-v2)
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- **Quantization**: F16
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- **Format**: GGUF (GPT-Generated Unified Format)
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- **Converted with**: llama.cpp
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## Quantization Details
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This is a **F16** quantization of the original model:
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- **F16**: Full 16-bit floating point - highest quality, largest size
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- **Q8_0**: 8-bit quantization - high quality, good balance
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- **Q4_K_M**: 4-bit quantization with medium quality - smaller size, faster inference
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## Usage
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This model can be used with llama.cpp and other GGUF-compatible inference engines.
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```bash
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# Example using llama.cpp
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./llama-rerank -m mxbai-rerank-large-v2-F16.gguf
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```
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## Model Files
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| Quantization | Use Case |
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|-------------|----------|
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| F16 | Maximum quality, largest size |
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| Q8_0 | High quality, good balance of size/performance |
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| Q4_K_M | Good quality, smallest size, fastest inference |
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## Citation
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If you use this model, please cite the original model:
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```bibtex
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# See original model card for citation information
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```
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## License
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This model inherits the license from the original model. Please refer to the [original model card](https://huggingface.co/mixedbread-ai/mxbai-rerank-large-v2) for license details.
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## Acknowledgements
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- Original model by the authors of [mixedbread-ai/mxbai-rerank-large-v2](https://huggingface.co/mixedbread-ai/mxbai-rerank-large-v2)
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- GGUF conversion via llama.cpp by ggml.ai
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- Converted and uploaded by [sinjab](https://huggingface.co/sinjab)
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