# 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`