mlfoundations-dev/seed_math_multiple_samples_scale_up_scaredy_cat_test

The mlfoundations-dev/seed_math_multiple_samples_scale_up_scaredy_cat_test model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct, developed by mlfoundations-dev. This model was trained with a learning rate of 1e-05 and a total batch size of 96 over 3 epochs, utilizing a cosine learning rate scheduler. Its primary differentiation and specific use cases are not detailed in the available information, but it is based on a 7 billion parameter architecture.