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@@ -57,16 +57,15 @@ After intense refining, <b>Nerdsking-python-coder-3B-i</b> has achieved <b>88.41
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  <i> Note: Quantized variants (INT4/INT6) may exhibit lower HumanEval scores due to reduced numerical precision.</i></p>
 
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  <hr>
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- <br><b>IMPORTANT:</b> About 5 "errors" from the model during the benchmark were mere "import errors" (missing imports: reduce, Optional, List, etc ), but the logic was perfect, therefore
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  - the model reasoning was right
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  - the failure is syntactic / boilerplate, not conceptual<br>
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  If considered those extra 5 questions as correct, our benchmark would be much higher.
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  #### Comparison Table
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  <table>
 
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  <p class="justified-text">
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  <i> Note: Quantized variants (INT4/INT6) may exhibit lower HumanEval scores due to reduced numerical precision.</i></p>
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  <hr>
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+ <br><b>IMPORTANT:</b> 5 "errors" from the model during the benchmark were mere "import errors" (missing imports: reduce, Optional, List, etc ), but the logic was perfect, therefore
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  - the model reasoning was right
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  - the failure is syntactic / boilerplate, not conceptual<br>
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  If considered those extra 5 questions as correct, our benchmark would be much higher.
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  <hr>
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  #### Comparison Table
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  <table>