Hitesh Yadav bc9459df40 refactor(inference): modularize model architecture for improved maintainability ... BREAKING CHANGE: Restructured model.py into dedicated modules under inference/models/ Key Changes: - Split monolithic model.py into focused, single-responsibility modules: - config.py: Model configuration and hyperparameters - attention.py: Multi-head Latent Attention (MLA) implementation - moe.py: Mixture of Experts components (Gate, Expert, MoE) - linear.py: Linear layer variants with parallel processing support - __init__.py: Clean public API exports Benefits: - Improved code organization and maintainability - Better separation of concerns - Enhanced testability of individual components - Clearer dependency management - Simplified future modifications and extensions Migration: - Update imports to use new module structure - No functional changes to existing implementations - Backwards compatible with current model weights		2025-01-05 16:28:10 +05:30
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__init__.py	refactor(inference): modularize model architecture for improved maintainability	2025-01-05 16:28:10 +05:30
attention.py	refactor(inference): modularize model architecture for improved maintainability	2025-01-05 16:28:10 +05:30
config.py	refactor(inference): modularize model architecture for improved maintainability	2025-01-05 16:28:10 +05:30
linear.py	refactor(inference): modularize model architecture for improved maintainability	2025-01-05 16:28:10 +05:30
moe.py	refactor(inference): modularize model architecture for improved maintainability	2025-01-05 16:28:10 +05:30