| # DiffReaper 3 Birth Log |
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| **Model:** DiffReaper 3 (1.5B Parameter dLLM) |
| **Date:** 2026-01-27 |
| **Host:** Vast.ai (1x RTX 4090 - France) |
| **Training Time:** ~1 hour |
| **Steps:** 10,000 |
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| ## Architecture Spec |
| - **Layers:** 24 |
| - **Hidden Dim:** 2048 |
| - **Heads:** 16 |
| - **Objective:** Mercury-style Discrete Diffusion |
| - **Payload:** 2.85 GB weight file (`pytorch_model.bin`) |
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| ## Training History |
| - Attempt 1: Failed (Zombie SSH port on first host). |
| - Attempt 2: Failed (Gated dataset access issues). |
| - Attempt 3: Switch to "Raw Logic Stream" (Bypass datasets lib). |
| - Step 4150: Loss hit major milestone: **0.3503**. |
| - Step 9500: Reaped logical structure: **0.0038**. |
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| ## First Live Denoise Test |
| **Prompt:** `The reaper of code looks upon the logic and says: def process_data(x):` |
| **Result:** `The re arm of feel looks upon theSh and says: arm feel seas feel sufferxumer feel,,,,,,,,,,,,,,,,,,,,` |
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| **Conclusion:** The model shows clear diffusion artifacting. It successfully parallel-unmasked the block, though the mixed Shakespeare/Python training has created a "Tortured Poet" logic gate. |
