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---
language:
- en
license: apache-2.0
library_name: gguf
tags:
- reranker
- gguf
- llama.cpp
base_model: mixedbread-ai/mxbai-rerank-large-v2
---
# mxbai-rerank-large-v2-F16-GGUF
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.
Refer to the [original model card](https://huggingface.co/mixedbread-ai/mxbai-rerank-large-v2) for more details on the model.
## Model Information
- **Base Model**: [mixedbread-ai/mxbai-rerank-large-v2](https://huggingface.co/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.
```bash
# Example using llama.cpp
./llama-rerank -m mxbai-rerank-large-v2-F16.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:
```bibtex
# See original model card for citation information
```
## License
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.
## Acknowledgements
- Original model by the authors of [mixedbread-ai/mxbai-rerank-large-v2](https://huggingface.co/mixedbread-ai/mxbai-rerank-large-v2)
- GGUF conversion via llama.cpp by ggml.ai
- Converted and uploaded by [sinjab](https://huggingface.co/sinjab)