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| license: apache-2.0 | |
| tags: [tiny, synthetic, sorted-tokens, runtime-verification] | |
| # Consecutive-token tiny llama (14.2M params) | |
| Causal LM trained from scratch on consecutive token-id runs | |
| ``[k, k+1, ...]`` mod 50000 (ids 0..49999; 49999 wraps to 0). Greedy | |
| decoding continues the run exactly, which makes it a hand-checkable oracle | |
| for verifying inference runtimes (vLLM, etc.) token-for-token against the | |
| HuggingFace reference. | |
| - Architecture: `llama` (random init, trained 3000 steps, | |
| lr 0.0005, batch 16, boundary-crossing frac 0.25) | |
| - Data: fully synthetic, generated on the fly (`train.py::consecutive_seq`) | |
| - Eval (greedy exact-match of the hand-computed continuation): | |
| in-distribution `1.000`, | |
| longer-than-train `1.000` | |