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| license: apache-2.0 |
| language: |
| - ko |
| library_name: transformers |
| --- |
| # Model Details |
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| ## Model Description |
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| <!-- Provide a longer summary of what this model is/does. --> |
| 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. |
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| - **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 |
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| # Uses |
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| <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> |
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| ## Direct Use |
| ``` |
| from transformers import AutoTokenizer, AutoModelForCausalLM |
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| tokenizer = AutoTokenizer.from_pretrained("x2bee/POLAR-7B-SFT-V1.0") |
| model = AutoModelForCausalLM.from_pretrained("x2bee/POLAR-7B-SFT-V1.0") |
| ``` |
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| ## Downstream Use [Optional] |
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| <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> |
| <!-- If the user enters content, print that. If not, but they enter a task in the list, use that. If neither, say "more info needed." --> |
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| ## Out-of-Scope Use |
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| <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> |
| <!-- If the user enters content, print that. If not, but they enter a task in the list, use that. If neither, say "more info needed." --> |
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| # Bias, Risks, and Limitations |
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| <!-- This section is meant to convey both technical and sociotechnical limitations. --> |
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| Significant research has explored bias and fairness issues with language models (see, e.g., [Sheng et al. (2021)](https://aclanthology.org/2021.acl-long.330.pdf) and [Bender et al. (2021)](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)). 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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| ## Recommendations |
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| <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
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| # Training Details |
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| ## Training Data |
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| <!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> |
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| More information on training data needed |
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| ## Training Procedure |
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| <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> |
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| ### Preprocessing |
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| More information needed |
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| ### Speeds, Sizes, Times |
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| <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> |
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| More information needed |
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| # Evaluation |
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| <!-- This section describes the evaluation protocols and provides the results. --> |
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| ## Testing Data, Factors & Metrics |
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| ### Testing Data |
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| <!-- This should link to a Data Card if possible. --> |
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| More information needed |
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| ### Factors |
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| <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> |
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| More information needed |
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| ### Metrics |
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| <!-- These are the evaluation metrics being used, ideally with a description of why. --> |
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| More information needed |
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| ## Results |
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| More information needed |
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| # Model Examination |
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| More information needed |
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| # Environmental Impact |
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| <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> |
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| Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). |
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| - **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 |
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| # Technical Specifications [optional] |
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| ## Model Architecture and Objective |
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| More information needed |
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| ## Compute Infrastructure |
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| More information needed |
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| ### Hardware |
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| More information needed |
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| ### Software |
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| More information needed |
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| # Citation |
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| <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> |
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| **BibTeX:** |
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| More information needed |
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| **APA:** |
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| More information needed |
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| # Glossary [optional] |
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| <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> |
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| More information needed |
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| # More Information [optional] |
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| If you would like more information about our company, please visit the link below. |
| [tech.x2bee.com](https://tech.x2bee.com/) |
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| # Model Card Authors [optional] |
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| <!-- This section provides another layer of transparency and accountability. Whose views is this model card representing? How many voices were included in its construction? Etc. --> |
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| Woomun Jung, MinYoung Joo, Eunsu Ha, Seungjun Son |
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| # Model Card Contact |
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| More information needed |
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| # How to Get Started with the Model |
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| Use the code below to get started with the model. |
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| <details> |
| <summary> Click to expand </summary> |
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| More information needed |
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| </details> |
