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- geometry
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---
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# MiniLLM Geometry Engine
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MiniLLM Geometry Engine is a specialized, fine-tuned version of the TinyLlama 1.1B language model, optimized for generating geometry-related functions for a geometry engine. By fine-tuning TinyLlama 1.1B on a custom Geometry Chain-of-Thought (CoT) dataset, MiniLLM Geometry Engine excels at producing accurate and efficient mathematical functions tailored for geometric computations.
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## Key Features
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- **Base Model**: TinyLlama 1.1B, a lightweight and efficient language model.
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- **Fine-Tuning**: Trained on a Geometry CoT dataset, enabling step-by-step reasoning for geometry problems.
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- **Output**: Generates precise geometry functions (e.g., calculating areas, volumes, distances, or intersections) in a format compatible with geometry engines.
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- **Applications**: Ideal for educational tools, CAD software, game development, and computational geometry tasks.
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- **Efficiency**: Optimized for low-resource environments, balancing performance and computational cost.
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## Capabilities
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MiniLLM Geometry Engine can interpret geometry-related queries and output functional code or mathematical expressions. For example, given a prompt like "Generate a function to calculate the area of a triangle," it produces executable code or formulas with clear reasoning, leveraging its CoT fine-tuning to ensure logical accuracy.
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## Technical Details
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- **Dataset**: Custom Geometry CoT dataset, including problems on 2D/3D shapes, trigonometry, and coordinate geometry, with step-by-step solutions.
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- **Architecture**: Inherits TinyLlama's transformer-based structure, fine-tuned to prioritize geometric reasoning.
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- **Output Format**: Produces functions in Python or pseudocode, compatible with geometry engine APIs.
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- **Performance**: Enhanced accuracy on geometry tasks compared to the base TinyLlama model, with minimal latency.
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MiniLLM Geometry Engine is a powerful, compact solution for developers and researchers needing reliable geometry function generation in resource-constrained environments.
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