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guanning/0829_nanochat_checkpoints
0829_nanochat_checkpoints is a machine learning model from guanning. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Full intermediate checkpoint trajectories for three nanochat d24 pretraining runs.
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Updated Sep 3, 2026
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From the Hugging Face model README
Full intermediate checkpoint trajectories for three nanochat d24 pretraining runs.
| folder | run | steps saved | model_*.pt |
|---|---|---|---|
d24/ | base | every 50 steps, up to 5568 | 112 |
d24_6shard_10ep/ | 6-shard, 10 epochs | every 26 steps, up to 2590 | 100 |
d24_13shard_10ep/ | 13-shard, 10 epochs | every 56 steps, up to 5600 | 100 |
Each folder contains:
model_XXXXXX.pt — model weights at that step (~3.9 GB each)optim_XXXXXX_rank{0..7}.pt — optimizer state at the final step (resume training)meta_XXXXXX.json — per-checkpoint metadataval_metrics.jsonl — validation curve for the run