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--- |
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library_name: transformers |
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pipeline_tag: text-generation |
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license: cc-by-nc-4.0 |
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tags: |
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- reasoning |
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--- |
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# Model Card for STAR-1 |
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This model, STAR-1, is a large language model focusing on safer alignment of reasoning LLMs. It is described in the paper [STAR-1: Safer Alignment of Reasoning LLMs with 1K Data](https://arxiv.org/abs/2504.01903). |
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The project page can be found at https://ucsc-vlaa.github.io/STAR-1. |
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The code can be found at https://github.com/UCSC-VLAA/STAR-1. |
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## Model Details |
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### Model Description |
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. |
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- **Developed by:** UCSC-VLAA |
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- **Funded by [optional]:** [More Information Needed] |
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- **Shared by [optional]:** [More Information Needed] |
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- **Model type:** Large Language Model (LLM) |
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- **Language(s) (NLP):** English (en) |
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- **License:** cc-by-nc-4.0 |
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- **Finetuned from model [optional]:** [More Information Needed] |
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### Model Sources [optional] |
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- **Repository:** https://github.com/UCSC-VLAA/STAR-1 |
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- **Paper [optional]:** [STAR-1: Safer Alignment of Reasoning LLMs with 1K Data](https://arxiv.org/abs/2504.01903) |
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- **Demo [optional]:** [More Information Needed] |
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## Uses |
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### Direct Use |
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[More Information Needed] |
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### Downstream Use [optional] |
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[More Information Needed] |
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### Out-of-Scope Use |
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[More Information Needed] |
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## Bias, Risks, and Limitations |
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[More Information Needed] |
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### Recommendations |
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. |
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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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[More Information Needed] |
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## Training Details |
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### Training Data |
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[More Information Needed] |
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### Training Procedure |
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#### Preprocessing [optional] |
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[More Information Needed] |
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#### Training Hyperparameters |
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- **Training regime:** [More Information Needed] |
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#### Speeds, Sizes, Times [optional] |
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[More Information Needed] |
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## Evaluation |
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### Testing Data, Factors & Metrics |
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#### Testing Data |
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[More Information Needed] |
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#### Factors |
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[More Information Needed] |
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#### Metrics |
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[More Information Needed] |
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### Results |
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[More Information Needed] |
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#### Summary |
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## Model Examination [optional] |
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[More Information Needed] |
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## Environmental Impact |
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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] |
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- **Hours used:** [More Information Needed] |
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- **Cloud Provider:** [More Information Needed] |
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- **Compute Region:** [More Information Needed] |
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- **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 [optional] |
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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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[More Information Needed] |
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## More Information [optional] |
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[More Information Needed] |
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## Model Card Authors [optional] |
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[More Information Needed] |
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## Model Card Contact |
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[More Information Needed] |
