Slayer149 training checkpoints

Automatic recovery archive for controlled data-continuation experiments from SlayerLab/Slayer149. 148,910,738 parameters. Experimental checkpoints are not promoted releases or verified top-three leaderboard entries. The original release remains unchanged.

baseline/training-state.pt and each runs/<arm-seed>/checkpoint-<step>/training-state.pt contain weights, optimizer state, step, training configuration and provenance. extension/ contains the longer continuation only if the development selection criteria pass. Steps are local to each training phase, not total lineage tokens. Safetensors inference exports are included for the final pilot/extension checkpoints. These use the accompanying custom PyTorch loader, not Transformers AutoModel.

reports/ contains development measurements and experiment status. Development proxies are not GLINT leaderboard results. Full GLINT confirmation, when available, is explicitly named. Scores and ranking claims must be read with their protocol. No training corpus or authentication credentials are uploaded.

Restore a trusted training-state.pt as latest.pt in a new run directory, restore its matching config and exact tokenized data, then resume the trainer. Source/tokenizer revisions and data hashes are recorded in the manifests; this archive does not by itself contain the training datasets.

Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support