POLAR-7B-DPO-v1.02 / README.md
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metadata
library_name: transformers
license: apache-2.0
datasets:
  - We-Want-GPU/Yi-Ko-DPO-Orca-DPO-Pairs
language:
  - ko
pipeline_tag: text-generation

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Model Details

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Model Description

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

Direct Use

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("x2bee/PLOAR-7B-DPO-v1.0")
model = AutoModelForCausalLM.from_pretrained("x2bee/PLOAR-7B-DPO-v1.0")

Downstream Use [Optional]

Out-of-Scope Use

Bias, Risks, and Limitations

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

Training Data

More information on training data needed

Training Procedure

Preprocessing

More information needed

Speeds, Sizes, Times

More information needed

Evaluation

Testing Data, Factors & Metrics

Testing Data

More information needed

Factors

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Metrics

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Results

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Model Examination

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Environmental Impact

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

  • Hardware Type: More information needed
  • Hours used: More information needed
  • Cloud Provider: More information needed
  • Compute Region: More information needed
  • Carbon Emitted: More information needed

Technical Specifications [optional]

Model Architecture and Objective

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Compute Infrastructure

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Hardware

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Software

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Citation

BibTeX:

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APA:

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Glossary [optional]

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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]

Woomun Jung, MinYoung Joo, Eunsu Ha, Seungjun Son

Model Card Contact

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How to Get Started with the Model

Use the code below to get started with the model.

Click to expand

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