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@@ -101,16 +101,7 @@ Unlike traditional dense models, **Next-Codex** utilizes a sparse architecture w
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  **Next-Coder 30B** achieves state-of-the-art results among open-weights coding models, balancing extreme efficiency with high accuracy.
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- | Benchmark | Task Description | Next-Codex | CodeLlama 34B | DeepSeek Coder 33B |
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- | :--- | :--- | :---: | :---: | :---: |
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- | **HumanEval** | Python Code Generation | **82.4%** | 48.2% | 79.3% |
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- | **MBPP** | Basic Python Programming | **86.1%** | 56.0% | 84.0% |
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- | **HumanEval-JS** | JavaScript Generation | **78.5%** | 43.1% | 74.2% |
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- | **GSM8K** | Math & Logic | **89.0%** | 40.2% | 78.0% |
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- | **LiveCodeBench** | Hard/Competition Problems | **41.2%** | 22.0% | 38.5% |
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- *(Benchmarks run using 0-shot and few-shot settings comparable to standard reporting)*
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  ## 🚀 Installation & Usage
 
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  **Next-Coder 30B** achieves state-of-the-art results among open-weights coding models, balancing extreme efficiency with high accuracy.
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+ Benchmarks are being conducted...
 
 
 
 
 
 
 
 
 
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  ## 🚀 Installation & Usage