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  1. README.md +2 -3
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  ---
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  base_model: agentica-org/DeepScaleR-1.5B-Preview
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- datasets: hf-cmu-collab/DeepScaleR-1.5B-Preview_on-policy_GRPO
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  library_name: transformers
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  model_name: DeepSeek-R1-Distill-Qwen-7B-GRPO
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  tags:
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  # Model Card for DeepSeek-R1-Distill-Qwen-7B-GRPO
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- This model is a fine-tuned version of [agentica-org/DeepScaleR-1.5B-Preview](https://huggingface.co/agentica-org/DeepScaleR-1.5B-Preview) on the [hf-cmu-collab/DeepScaleR-1.5B-Preview_on-policy_GRPO](https://huggingface.co/datasets/hf-cmu-collab/DeepScaleR-1.5B-Preview_on-policy_GRPO) 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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  ## Training procedure
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- [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/yuxiao98/backtrack-rl/runs/9ukjv53p)
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  This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://huggingface.co/papers/2402.03300).
 
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  ---
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  base_model: agentica-org/DeepScaleR-1.5B-Preview
 
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  library_name: transformers
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  model_name: DeepSeek-R1-Distill-Qwen-7B-GRPO
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  tags:
 
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  # Model Card for DeepSeek-R1-Distill-Qwen-7B-GRPO
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+ This model is a fine-tuned version of [agentica-org/DeepScaleR-1.5B-Preview](https://huggingface.co/agentica-org/DeepScaleR-1.5B-Preview).
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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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  ## Training procedure
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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/yuxiao98/backtrack-rl/runs/5b36bprf)
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  This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://huggingface.co/papers/2402.03300).