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AGILLM4.4 live training code
This standalone repository contains the exact, unmodified single-file Python trainer used by the live AGILLM4.4 production process at the verification time below.
- Verified live: 2026-09-04 12:30 UTC
- Live supervisor PID:
152762 - Live trainer PID:
223544 - Source file:
agillm43_singlefile_intelligence_v27_12_sublayer_grad_ckpt_cycle_20260903.py - SHA-256:
643c688a9e28e2bd78531c6b6285daa76c8a3e08e67d46d992ea412609e12f09 - Size: 1,586,520 bytes
The historical agillm43 filename is retained deliberately so the published file remains byte-for-byte identical to the running source.
This is a point-in-time source snapshot. It contains code only: no model weights, checkpoints, datasets, API credentials, or private keys. The trainer includes production-specific default paths and optional external-provider integrations; configure those for your own environment before running it.
No licence has been added because the source snapshot itself does not declare one.