x2bee_-_POLAR-14B-DPO-v1.4-gguf

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POLAR-14B-DPO-v1.4 - GGUF

• Model creator: https://huggingface.co/x2bee/
• Original model: https://huggingface.co/x2bee/POLAR-14B-DPO-v1.4/

Original model description:

library_name: transformers license: apache-2.0 language:

• ko pipeline_tag: text-generation

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Model Details

Model Description

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POLAR is a Korean LLM developed by Plateer's AI-lab. It was inspired by Upstage's SOLAR. We will continue to evolve this model and hope to contribute to the Korean LLM ecosystem.

• Developed by: AI-Lab of Plateer(Woomun Jung, Eunsoo Ha, MinYoung Joo, Seongjun Son)
• Model type: Language model
• Language(s) (NLP): ko
• License: apache-2.0
• Parent Model: x2bee/POLAR-14B-v0.2
• wiki Data 를 활용하여 DPO 데이터 1.4 만건 생성하여 학습했습니다.

Direct Use

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("x2bee/POLAR-14B-DPO-v1.4")
model = AutoModelForCausalLM.from_pretrained("x2bee/POLAR-14B-DPO-v1.4")

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Significant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)). Predictions generated by the model may include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social, and occupational groups.

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Training Details

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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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More Information [optional]

If you would like more information about our company, please visit the link below. tech.x2bee.com

Model Card Authors [optional]

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Woomun Jung, MinYoung Joo, Eunsu Ha, Seungjun Son

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How to Get Started with the Model

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<details> <summary> Click to expand </summary>

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</details>