Final Checkpoint Artifacts
This repository contains the final checkpoint artifacts for the submission.
The checkpoints are provided for reproducibility and correspond to the eight attention variants evaluated at training step 610000.
Contents
checkpoints/*.tar: final Megatron checkpoint archivesMANIFEST.tsv: archive names, variants, sizes, and SHA-256 hashesCHECKSUMS.sha256: full checksum fileSIZES.txt: archive sizes
The included variants are:
vanillaalibiprope075s_fixedm_fixedmosar0cost001rope_m_mask
Checkpoint format
Each archive contains one final Megatron checkpoint directory:
iter_0610000/
These checkpoints are not stored in Hugging Face Transformers format and are not intended to be loaded with:
AutoModel.from_pretrained(...)
They are intended to be used with the accompanying Megatron-based training and evaluation code.
Training setup summary
The checkpoints correspond to decoder-only language models trained from scratch using a Megatron-based runtime.
High-level configuration:
- Training step:
610000 - Sequence length:
2048 - Vocabulary size:
256000 - Tokenizer: Gemma tokenizer
- Source corpus: English Wikipedia
- Dataset split:
990,10,0 - Approximate indexed corpus size:
4,975,435,463tokens
The exact code, configuration files, evaluation scripts, and reproduction instructions are provided in the accompanying code repository.
Integrity verification
After downloading the artifact, verify the files with:
sha256sum -c CHECKSUMS.sha256
To extract a checkpoint archive:
tar -xf checkpoints/mosar0_step610000_iter_0610000.tar
This will produce:
iter_0610000/
Notes
These files are provided as reproducibility artifacts for review. They are not packaged as general-purpose Hugging Face Transformers checkpoints.
Machine-specific paths, usernames, allocation names, job IDs, and node names are intentionally omitted from this artifact. File names and archive contents are organized using only variant names and checkpoint identifiers.