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- # Enhanced Affine Model
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- ## Improvements Made
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- ### Chat Template Enhancements
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- - **Specialized Problem Solving**: Added environment-specific reasoning strategies
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- - **Mathematical Focus**: Enhanced guidance for Project Euler and constraint satisfaction problems
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- - **Stack VM Expertise**: Detailed instructions for virtual machine execution tracing
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- - **Systematic Approach**: Step-by-step problem solving methodology
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- ### Generation Configuration
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- - **Optimized Sampling**: Temperature 0.7, top_p 0.9, top_k 40 for balanced creativity and precision
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- - **Repetition Control**: Penalty 1.1 to reduce redundant outputs
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- - **Extended Context**: Max 2048 tokens for complex reasoning
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- ### Target Improvements
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- - **HVM Environment**: Enhanced constraint satisfaction and VM execution tracing
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- - **ELR Environment**: Better mathematical reasoning for Project Euler problems
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- - **Maintained Performance**: Preserved strengths in SAT, ABD, and DED environments
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- ## Model Architecture
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- - **Base**: GptOssForCausalLM with Mixture of Experts
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- - **Size**: 36 layers, 128 experts, 4 active per token
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- - **Quantization**: MXFP4 for efficiency
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- - **Context**: 131K tokens with YARN RoPE scaling
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- ## Usage
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- This model is optimized for the Affine protocol with enhanced reasoning capabilities across all challenge environments.