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nerdsking-python-coder-3B-i

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@@ -121,10 +121,10 @@ We did not considered it for our score, but "if" considered those extra 5 questi
 ### <font color=red>Nanbeige/Nanbeige4.1-3B </font> (4 billion model, "marketed" as 3B billions), with 92% HumanEval accuracy in Python
-- Time to finish 160 questions from HumanEval: 22263.80s --- <b>MORE THAN SIX HOURS</b> !!! (in a RTX 5060 ti 16gb)
 ### <font color=red>Nerdsking/nerdsking-python-coder-3B-i</font> (real 3 billion model) with 88,41% HumanEval accuracy in Python
-- Time to finish 160 questions from HumanEval: 210.51s --- <b>THREE MINUTES AND HALF</b> (in a RTX 5060 ti 16gb)
 <b><i><font color=red>Lesson: Anyone can create a bigger model with an "eternal loop" to solve problems by randomly trying all possible variables. That is not "intelligence", that's
 mere BRUTE FORCE, and waste of time and resources. INTELLIGENCE is doing MORE, with LESS and EFFICIENCY. </b></font></i>

 ### <font color=red>Nanbeige/Nanbeige4.1-3B </font> (4 billion model, "marketed" as 3B billions), with 92% HumanEval accuracy in Python
+- Time to finish 160 questions from HumanEval: 22263.80s --- <b><u>MORE THAN SIX HOURS</b></u> !!! (in a RTX 5060 ti 16gb)
 ### <font color=red>Nerdsking/nerdsking-python-coder-3B-i</font> (real 3 billion model) with 88,41% HumanEval accuracy in Python
+- Time to finish 160 questions from HumanEval: 210.51s --- <b><u>THREE MINUTES AND HALF</b></u> !!! (in a RTX 5060 ti 16gb)
 <b><i><font color=red>Lesson: Anyone can create a bigger model with an "eternal loop" to solve problems by randomly trying all possible variables. That is not "intelligence", that's
 mere BRUTE FORCE, and waste of time and resources. INTELLIGENCE is doing MORE, with LESS and EFFICIENCY. </b></font></i>