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---
library_name: transformers
pipeline_tag: text-generation
license: cc-by-nc-4.0
tags:
- reasoning
---
# Model Card for STAR-1
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).
The project page can be found at https://ucsc-vlaa.github.io/STAR-1.
The code can be found at https://github.com/UCSC-VLAA/STAR-1.
## Model Details
### Model Description
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** UCSC-VLAA
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** Large Language Model (LLM)
- **Language(s) (NLP):** English (en)
- **License:** cc-by-nc-4.0
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
- **Repository:** https://github.com/UCSC-VLAA/STAR-1
- **Paper [optional]:** [STAR-1: Safer Alignment of Reasoning LLMs with 1K Data](https://arxiv.org/abs/2504.01903)
- **Demo [optional]:** [More Information Needed]
## Uses
### Direct Use
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### Downstream Use [optional]
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### Out-of-Scope Use
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## Bias, Risks, and Limitations
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### Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
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## Training Details
### Training Data
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### Training Procedure
#### Preprocessing [optional]
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#### Training Hyperparameters
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## Evaluation
### Testing Data, Factors & Metrics
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### Results
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#### Summary
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## Environmental Impact
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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## Technical Specifications [optional]
### Model Architecture and Objective
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