RichardErkhov/NingLab_-_eCeLLM-M-gguf

Quantization made by Richard Erkhov.

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eCeLLM-M - GGUF

• Model creator: https://huggingface.co/NingLab/
• Original model: https://huggingface.co/NingLab/eCeLLM-M/

Name	Quant method	Size
eCeLLM-M.Q2_K.gguf	Q2_K	2.53GB
eCeLLM-M.Q3_K_S.gguf	Q3_K_S	2.95GB
eCeLLM-M.Q3_K.gguf	Q3_K	3.28GB
eCeLLM-M.Q3_K_M.gguf	Q3_K_M	3.28GB
eCeLLM-M.Q3_K_L.gguf	Q3_K_L	3.56GB
eCeLLM-M.IQ4_XS.gguf	IQ4_XS	0.64GB
eCeLLM-M.Q4_0.gguf	Q4_0	3.83GB
eCeLLM-M.IQ4_NL.gguf	IQ4_NL	3.87GB
eCeLLM-M.Q4_K_S.gguf	Q4_K_S	3.86GB
eCeLLM-M.Q4_K.gguf	Q4_K	1.06GB
eCeLLM-M.Q4_K_M.gguf	Q4_K_M	4.07GB
eCeLLM-M.Q4_1.gguf	Q4_1	4.24GB
eCeLLM-M.Q5_0.gguf	Q5_0	4.65GB
eCeLLM-M.Q5_K_S.gguf	Q5_K_S	4.65GB
eCeLLM-M.Q5_K.gguf	Q5_K	4.78GB
eCeLLM-M.Q5_K_M.gguf	Q5_K_M	4.78GB
eCeLLM-M.Q5_1.gguf	Q5_1	5.07GB
eCeLLM-M.Q6_K.gguf	Q6_K	5.53GB
eCeLLM-M.Q8_0.gguf	Q8_0	7.17GB

Original model description:

license: cc-by-4.0 datasets: - NingLab/ECInstruct

eCeLLM-M

This repo contains the models for "eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data"

eCeLLM Models

Leveraging ECInstruct, we develop eCeLLM by instruction tuning general-purpose LLMs (base models). The eCeLLM-M model is instruction-tuned from the large base models Mistral-7B Instruct-v0.2.

Citation

@inproceedings{
    peng2024ecellm,
    title={eCe{LLM}: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data},
    author={Bo Peng and Xinyi Ling and Ziru Chen and Huan Sun and Xia Ning},
    booktitle={Forty-first International Conference on Machine Learning},
    year={2024},
    url={https://openreview.net/forum?id=LWRI4uPG2X}
}