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README.md
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@@ -30,6 +30,9 @@ This repository contains both the compiled production asset and the complete tra
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* **`llama-3.2-1b-Q4_K_M.gguf`** (~763 MB): The production-ready binary weight matrix optimized for edge deployment.
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* **`llama-3.2-1b-Q4_K_M.ipynb`**: The fully automated Jupyter/Google Colab notebook containing the exact compilation routine.
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* **`demo_inference.ipynb`**: Demo inference using hypothetical demo values from ENV PRO sensor output.
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### How to Re-Run the Pipeline
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You can inspect or execute the bundled notebook directly within Hugging Face's built-in notebook viewer, or download it to re-run the compilation on any clean CPU-only runtime. The code automatically handles:
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* **`llama-3.2-1b-Q4_K_M.gguf`** (~763 MB): The production-ready binary weight matrix optimized for edge deployment.
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* **`llama-3.2-1b-Q4_K_M.ipynb`**: The fully automated Jupyter/Google Colab notebook containing the exact compilation routine.
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* **`demo_inference.ipynb`**: Demo inference using hypothetical demo values from ENV PRO sensor output.
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* **`Dockerfile`**: Included to ensure the ENV‑PRO reasoning environment can be rebuilt identically on any machine, providing a deterministic and reproducible execution setup.
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* **`app.py`**: The minimal Flask API exposing the /auto and /manual endpoints used for deterministic sensor‑value interpretation.
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* **`requirements.txt`**: Version‑locked Python dependencies guaranteeing that the reasoning environment behaves identically across all installations.
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### How to Re-Run the Pipeline
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You can inspect or execute the bundled notebook directly within Hugging Face's built-in notebook viewer, or download it to re-run the compilation on any clean CPU-only runtime. The code automatically handles:
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