mlfoundations-dev/seed_math_multiple_samples_scale_up_scaredy_cat_baseline

The mlfoundations-dev/seed_math_multiple_samples_scale_up_scaredy_cat_baseline is a 7.6 billion parameter language model, fine-tuned from Qwen/Qwen2.5-7B-Instruct. This model is specifically adapted using the mlfoundations-dev/seed_math_multiple_samples_scale_up_scaredy_cat_baseline dataset, suggesting a specialization in mathematical reasoning or related tasks. With a notable context length of 131072 tokens, it is designed for applications requiring extensive contextual understanding, particularly within its fine-tuned domain.