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## Model Overview
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**TinyLlama-R1** is a lightweight transformer model designed to handle instruction-following and reasoning tasks, particularly in STEM domains. This model was trained using the **Magpie Reasoning V2 250K-CoT** dataset, with a goal to improve reasoning through high-quality instruction-response pairs. However, based on early tests, **TinyLlama-R1** shows reduced responsiveness to system-level instructions, likely due to the absence of system messages in the dataset.
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This model sponsored by the generous support of Cherry Republic.
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https://www.cherryrepublic.com/
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## Model Overview
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**TinyLlama-R1** is a lightweight transformer model designed to handle instruction-following and reasoning tasks, particularly in STEM domains. This model was trained using the **Magpie Reasoning V2 250K-CoT** dataset, with a goal to improve reasoning through high-quality instruction-response pairs. However, based on early tests, **TinyLlama-R1** shows reduced responsiveness to system-level instructions, likely due to the absence of system messages in the dataset.
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