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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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- - Solves quantitative chemistry problems using code-based reasoning.
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- - Generates intermediate steps to explain calculations and chemical logic.
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- - Can output results as numerical answers, chemical equations, or calculated values.
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  ## Uses
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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.
26
 
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  - Capabilities:
28
+ - Solves quantitative chemistry problems using code-based reasoning.
29
+ - Generates intermediate steps to explain calculations and chemical logic.
30
+ - Can output results as numerical answers, chemical equations, or calculated values.
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  ## Uses
33