# 600M multilingual TDT model
事实上，作为一种古老的内容载体，长文始终有其存在的价值。
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This one was a lot better than others. For every SAT problem with 10 variables and 200 clauses it was able to find a valid satisfying assignment. Therefore, I pushed it to test with 14 variables and 100 clauses, and it got half correct among 4 instances (See files with prefix formula14_ in here). Half correct sounds like a decent performance, but it is equivalent to random guessing.
tags = [self._extract_text(tag) for tag in soup.select(".tags a")]
桩桩件件，立足当前、着眼长远，都是为了确保中华民族的永续发展，为了强国建设、民族复兴的根本之计。