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README.md
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README.md
@ -41,7 +41,7 @@ To support the research community, we have open-sourced DeepSeek-R1-Zero, DeepSe
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**NOTE: Before running DeepSeek-R1 series models locally, we kindly recommend reviewing the [Usage Recommendation](#usage-recommendations) section.**
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<p align="center">
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<img width="80%" src="figures/benchmark.jpg">
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<img width="80%" src="figures/benchmarks.png">
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</p>
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## 2. Model Summary
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@ -257,11 +257,11 @@ When responding, please keep the following points in mind:
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This code repository and the model weights are licensed under the [MIT License](https://github.com/deepseek-ai/DeepSeek-R1/blob/main/LICENSE).
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DeepSeek-R1 series support commercial use, allow for any modifications and derivative works, including, but not limited to, distillation for training other LLMs. Please note that:
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- DeepSeek-R1-Distill-Qwen-1.5B, DeepSeek-R1-Distill-Qwen-7B, DeepSeek-R1-Distill-Qwen-14B and DeepSeek-R1-Distill-Qwen-32B are derived from [Qwen-2.5 series](https://github.com/QwenLM/Qwen2.5), which are originally licensed under [Apache 2.0 License](https://huggingface.co/Qwen/Qwen2.5-1.5B/blob/main/LICENSE), and now finetuned with 800k samples curated with DeepSeek-R1.
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- DeepSeek-R1-Distill-Llama-8B is derived from Llama3.1-8B-Base and is originally licensed under [llama3.1 license](https://huggingface.co/meta-llama/Llama-3.1-8B/blob/main/LICENSE).
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- DeepSeek-R1-Distill-Llama-70B is derived from Llama3.3-70B-Instruct and is originally licensed under [llama3.3 license](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct/blob/main/LICENSE).
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- DeepSeek-R1-Distill-Llama-8B is derived from Llama3.1-8B-Base and is originally licensed under [Llama3.1 license](https://huggingface.co/meta-llama/Llama-3.1-8B/blob/main/LICENSE).
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- DeepSeek-R1-Distill-Llama-70B is derived from Llama3.3-70B-Instruct and is originally licensed under [Llama3.3 license](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct/blob/main/LICENSE).
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## 8. Citation
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```
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```bibtex
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@misc{deepseekai2025deepseekr1incentivizingreasoningcapability,
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title={DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning},
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author={DeepSeek-AI},
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@ -274,4 +274,4 @@ DeepSeek-R1 series support commercial use, allow for any modifications and deriv
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```
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## 9. Contact
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If you have any questions, please raise an issue or contact us at [service@deepseek.com](service@deepseek.com).
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If you have any questions, please raise an issue or contact us at [service@deepseek.com](mailto:service@deepseek.com).
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figures/benchmarks.png
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