GAIR/Abel-7B-002

GAIR/Abel-7B-002 is a 7 billion parameter language model developed by GAIR, specifically optimized for mathematical reasoning and problem-solving tasks. This model demonstrates significant performance improvements over its predecessor, Abel-7B-001, and other 7B models on benchmarks like GSM8K and MATH. With a context length of 4096 tokens, it excels in complex quantitative reasoning and general academic question-answering.