README.md

ClimbMix-Ja Initial64 350M Artifacts

This repository is a public backup for the initial 64 ClimbMix-Ja candidate runs.

• Candidate count: 64
• Base model: nvidia/nemotron-climb-proxy-models 350M converted to a Megatron-LM TE-compatible checkpoint
• Training corpus: KantaHayashiAI/ClimbLab-Ja clustered into cluster_01 ... cluster_20
• Sequence length: 1024
• Train iterations per candidate: 6500
• Global batch size: 304
• Tokens per candidate: 2,023,424,000
• Total trained tokens across candidates: 129,499,136,000
• Precision/backend: BF16, Transformer Engine, FlashAttention

The candidate mapping files are:

• candidate_mapping.jsonl
• candidate_mapping.csv

Each candidate_id (n1 ... n64) maps a checkpoint to the exact mixture script and train-data path used for that run.

Contents

This dataset repository stores the data and wiring used by the 64 candidate runs.

• jsonl/: clustered ClimbLab-Ja JSONL files.
• indexed/: Megatron-LM indexed dataset files used for training.
• manifest.json and indexed_manifest.json: cluster/data manifests.
• climbsearch_initial64/: mixture definitions, candidate scripts, and per-candidate train-data-path files.

The matching checkpoint repository is:

https://huggingface.co/KantaHayashiAI/ClimbMix-Ja-350M-Initial64-Checkpoints