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- Secondary capabilities: General coding, technical English
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- Training focus: Python logic, standard library usage, algorithmic reasoning
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- Alignment: Partially uncensored (developer-oriented)
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#### Nerdsking Python Coder Family
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🧠 <a href="https://huggingface.co/Nerdsking/nerdsking-python-coder-3B-i"> Nerdsking Python Coder 3B-i </a>
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🧠 <a href="https://huggingface.co/Nerdsking/Nerdsking-python-coder-7B-i"> Nerdsking Python Coder 7B-i </a>
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#### Benchmark
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<p class="justified-text">
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After intense refining, <b>Nerdsking-python-coder-7B-i</b> has achieved <b>86.99 in HumanEval (bf16)</b>, ranking it amongst the highest-performing Python-focused 7B models ever reported on HumanEval. Surpassing even much bigger models in that area.
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- Secondary capabilities: General coding, technical English
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- Training focus: Python logic, standard library usage, algorithmic reasoning
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- Alignment: Partially uncensored (developer-oriented)
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<br>
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<p>
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#### Nerdsking Python Coder Family
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🧠 <a href="https://huggingface.co/Nerdsking/nerdsking-python-coder-3B-i"> Nerdsking Python Coder 3B-i </a><br>
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🧠 <a href="https://huggingface.co/Nerdsking/Nerdsking-python-coder-7B-i"> Nerdsking Python Coder 7B-i </a>
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<br>
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<p>
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#### Benchmark
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<p class="justified-text">
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After intense refining, <b>Nerdsking-python-coder-7B-i</b> has achieved <b>86.99 in HumanEval (bf16)</b>, ranking it amongst the highest-performing Python-focused 7B models ever reported on HumanEval. Surpassing even much bigger models in that area.
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