Fully tested with Python 3.8+. Support for PyPy 3.9 and 3.10 (see implementation notes in docs for more details).
On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside ...
一些您可能无法访问的结果已被隐去。
显示无法访问的结果