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license: apache-2.0
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---
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license: apache-2.0
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language:
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- en
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base_model:
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- deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
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pipeline_tag: text-generation
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tags:
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- huamn
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- mobility
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- traffic
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---
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# Human Mobility Inference Model
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## Overview
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This project presents a fine-tuned model based on **Deepseel-R1-Distill-Qwen-1.5B**, designed for **human mobility inference**. The model is continuously evolving to enhance its accuracy and robustness in mobility pattern recognition and prediction.
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## Model Description
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- **Base Model**: Deepseel-R1-Distill-Qwen-1.5B
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- **Objective**: Fine-tuned for **human mobility inference**
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- **Status**: The model is **under active development** with ongoing updates and improvements.
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## Features
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- **Fine-tuned on human mobility data** to infer movement patterns and trends.
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- **Optimized for efficiency and scalability**, leveraging a distilled version of Qwen-1.5B.
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- **Adaptable for real-world applications** such as urban planning, transportation analytics, and smart city research.
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## Updates & Future Plans
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- Enhancing model performance with more **context-aware fine-tuning**.
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- Improving inference speed and **memory efficiency**.
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- Expanding training datasets for better **generalization** across different mobility environments.
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## Usage
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The model is currently in development, and detailed usage instructions will be provided in future updates.
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## Contribution
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If you're interested in contributing or providing feedback, feel free to reach out or submit issues. Your input is valuable in refining the model for better performance.
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## License
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The licensing details will be provided upon the model's official release.
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---
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Stay tuned for updates as the model continues to evolve!
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