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@ -57,7 +57,7 @@ DeepSeek-R1 achieves performance comparable to OpenAI-o1 across math, code, and
To support the research community, we have open-sourced DeepSeek-R1-Zero, DeepSeek-R1, and six dense models distilled from DeepSeek-R1 based on Llama and Qwen. DeepSeek-R1-Distill-Qwen-32B outperforms OpenAI-o1-mini across various benchmarks, achieving new state-of-the-art results for dense models. To support the research community, we have open-sourced DeepSeek-R1-Zero, DeepSeek-R1, and six dense models distilled from DeepSeek-R1 based on Llama and Qwen. DeepSeek-R1-Distill-Qwen-32B outperforms OpenAI-o1-mini across various benchmarks, achieving new state-of-the-art results for dense models.
<p align="center"> <p align="center">
<img width="80%" src="figures/benchmark.png"> <img width="80%" src="figures/benchmarks.png">
</p> </p>
## 2. Model Summary ## 2. Model Summary