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README.md
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@@ -24,7 +24,7 @@ This model is a fine-tuned version of [Qwen/Qwen2.5-32B-Instruct](https://huggin
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The dataset is derived by distilling DeepSeek-R1 using the data pipeline of Berkeley NovaSky’s Sky-T1 with some modifications. More info in the dataset card at [Bespoke-Stratos-17k](https://huggingface.co/datasets/bespokelabs/Bespoke-Stratos-17k).
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It outperforms Qwen-2.5-32B-Instruct on reasoning benchmarks:
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| Metric | Bespoke-Stratos-32B | Sky-T1-32B | o1-preview | DeepSeek-R1 | DeepSeek-R1-Distill-Qwen-32B
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| AIME2024 | 63.3 | 43.3 | 40.0 | 79.8 | 66.7 | 72.6 |
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| MATH500 | 93.0 | 82.4 | 81.4 | 97.3 | 89.8 | 94.3 |
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The dataset is derived by distilling DeepSeek-R1 using the data pipeline of Berkeley NovaSky’s Sky-T1 with some modifications. More info in the dataset card at [Bespoke-Stratos-17k](https://huggingface.co/datasets/bespokelabs/Bespoke-Stratos-17k).
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It outperforms Qwen-2.5-32B-Instruct on reasoning benchmarks:
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| Metric | Bespoke-Stratos-32B | Sky-T1-32B | o1-preview | DeepSeek-R1 | DeepSeek-R1-Distill-Qwen-32B |DeepSeek-R1-Distill-Qwen-32B (Reported)|
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| AIME2024 | 63.3 | 43.3 | 40.0 | 79.8 | 66.7 | 72.6 |
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| MATH500 | 93.0 | 82.4 | 81.4 | 97.3 | 89.8 | 94.3 |
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