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QED-75M_artifacts – AI Model by levossadtchi | AlphaNeural AI
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QED-75M Artifacts
This repository stores training artifacts for
QED-75M
.
What is inside
Training checkpoints (
.pt
)
Training/evaluation logs
Auxiliary files used for reproducibility (configs, summaries, intermediate outputs)
Related model repository
Main model card and inference-ready model:
levossadtchi/QED-75M
. It contains a checkpoint at step 7400 SFT step.
Training summary
Pretraining data volume:
12.6B tokens
Multi-stage pipeline: pretraining -> long-context annealing -> SFT
Notes
These files are intended for reproducibility, inspection, and research workflows.
For normal inference, use the main model repository instead of this artifacts repository.
data/pretokenized contains pretokenized data for stage 1.
