| # ClimbMix-Ja Initial64 350M Artifacts |
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| This repository is a public backup for the initial 64 ClimbMix-Ja candidate runs. |
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| - 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 |
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| The candidate mapping files are: |
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| - `candidate_mapping.jsonl` |
| - `candidate_mapping.csv` |
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| Each `candidate_id` (`n1` ... `n64`) maps a checkpoint to the exact mixture script and train-data path used for that run. |
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| ## Contents |
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| This dataset repository stores the data and wiring used by the 64 candidate runs. |
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| - `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. |
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| The matching checkpoint repository is: |
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| `https://huggingface.co/KantaHayashiAI/ClimbMix-Ja-350M-Initial64-Checkpoints` |
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