Instructions to use NTQuoc/OpenRS-GRPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NTQuoc/OpenRS-GRPO with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NTQuoc/OpenRS-GRPO", dtype="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
README.md
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---
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base_model: Qwen/Qwen3.5-0.8B
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library_name: transformers
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model_name: OpenRS-GRPO
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tags:
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- generated_from_trainer
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- trl
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- grpo
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licence: license
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# Model Card for OpenRS-GRPO
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This model is a fine-tuned version of [Qwen/Qwen3.5-0.8B](https://huggingface.co/Qwen/Qwen3.5-0.8B).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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---
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base_model: Qwen/Qwen3.5-0.8B
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datasets: knoveleng/open-rs
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library_name: transformers
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model_name: OpenRS-GRPO
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tags:
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- generated_from_trainer
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- open-r1
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- trl
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- grpo
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licence: license
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# Model Card for OpenRS-GRPO
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This model is a fine-tuned version of [Qwen/Qwen3.5-0.8B](https://huggingface.co/Qwen/Qwen3.5-0.8B) on the [knoveleng/open-rs](https://huggingface.co/datasets/knoveleng/open-rs) dataset.
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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