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## Model Details
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**Name:** Chemistry-R1
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**Base Model:** Qwen3-0.6B
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**Fine-Tuning Dataset:** ~2,000 chemistry reasoning problems, where solutions are computed step-by-step using Python code.
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**Training Objective:** The model was fine-tuned to reason through chemistry problems, generate step-by-step solutions using Python, and compute the final answer programmatically.
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- Capabilities:
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## Model Details
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**Name:** Chemistry-R1
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| 23 |
+
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| 24 |
**Base Model:** Qwen3-0.6B
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| 25 |
+
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| 26 |
**Fine-Tuning Dataset:** ~2,000 chemistry reasoning problems, where solutions are computed step-by-step using Python code.
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+
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**Training Objective:** The model was fine-tuned to reason through chemistry problems, generate step-by-step solutions using Python, and compute the final answer programmatically.
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- Capabilities:
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