mlfoundations-dev/seed_math_multiple_samples_scale_up_scaredy_cat_all

The mlfoundations-dev/seed_math_multiple_samples_scale_up_scaredy_cat_all model is a 7.6 billion parameter instruction-tuned language model, fine-tuned from Qwen/Qwen2.5-7B-Instruct. It was trained on the mlfoundations-dev/seed_math_multiple_samples_scale_up_scaredy_cat_all dataset, suggesting a specialization in mathematical reasoning or related tasks. With a context length of 131072 tokens, it is designed for processing extensive inputs, potentially beneficial for complex problem-solving or long-form content generation in its specialized domain.