Quantization made by Richard Erkhov.

BM25Chunk - GGUF

Model creator: https://huggingface.co/yuzhaouoe/
Original model: https://huggingface.co/yuzhaouoe/BM25Chunk/

Name	Quant method	Size
BM25Chunk.Q2_K.gguf	Q2_K	0.52GB
BM25Chunk.Q3_K_S.gguf	Q3_K_S	0.6GB
BM25Chunk.Q3_K.gguf	Q3_K	0.65GB
BM25Chunk.Q3_K_M.gguf	Q3_K_M	0.65GB
BM25Chunk.Q3_K_L.gguf	Q3_K_L	0.69GB
BM25Chunk.IQ4_XS.gguf	IQ4_XS	0.7GB
BM25Chunk.Q4_0.gguf	Q4_0	0.72GB
BM25Chunk.IQ4_NL.gguf	IQ4_NL	0.73GB
BM25Chunk.Q4_K_S.gguf	Q4_K_S	0.76GB
BM25Chunk.Q4_K.gguf	Q4_K	0.81GB
BM25Chunk.Q4_K_M.gguf	Q4_K_M	0.81GB
BM25Chunk.Q4_1.gguf	Q4_1	0.8GB
BM25Chunk.Q5_0.gguf	Q5_0	0.87GB
BM25Chunk.Q5_K_S.gguf	Q5_K_S	0.89GB
BM25Chunk.Q5_K.gguf	Q5_K	0.93GB
BM25Chunk.Q5_K_M.gguf	Q5_K_M	0.93GB
BM25Chunk.Q5_1.gguf	Q5_1	0.95GB
BM25Chunk.Q6_K.gguf	Q6_K	1.09GB
BM25Chunk.Q8_0.gguf	Q8_0	1.33GB

Original model description:

library_name: transformers tags: []

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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@article{zhao2024analysing,
  title={Analysing The Impact of Sequence Composition on Language Model Pre-Training},
  author={Zhao, Yu and Qu, Yuanbin and Staniszewski, Konrad and Tworkowski, Szymon and Liu, Wei and Mi{\l}o{\'s}, Piotr and Wu, Yuxiang and Minervini, Pasquale},
  journal={arXiv preprint arXiv:2402.13991},
  year={2024}
}

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