Commit History

  1. Link directly to Dataset encoder data

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  1. Keep the model card as a reference and link to GitHub workflows

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  2. Connect the model card to the encoder code and first-run workflow

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  3. Organize the model guide around use, inputs, and reproduction

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  4. Organize the model guide around use, inputs, and reproduction

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  5. Provide complete training recipes and the reporting protocol

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  6. Use the published HF repositories directly

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  7. Use the published GitHub and Dataset paths

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  1. Clarify the released 294-step input contract

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  2. Add masked-reconstruction evaluation results

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  3. Complete the public pretraining recipe

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  4. Remove legacy training checkpoint files

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  5. Publish standalone Safetensors encoder artifact

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  6. Simplify the standalone encoder card

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  7. Document supported EGMS data workflows

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  8. Upload folder using huggingface_hub

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  9. Document dataset-authoritative normalization

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  10. Add files using upload-large-folder tool

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  11. Update dataset release paths

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  12. Flatten encoder repo: encoder.pt + sidecars at root

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  1. Add files using upload-large-folder tool

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  2. Delete files encoder.pt encoder_tokens_10k.pt encoder_tokens_10k_metadata.json manifest/split.parquet manifest/data_config.json with huggingface_hub

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  3. Upload README.md with huggingface_hub

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  4. Upload README.md with huggingface_hub

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  5. Add files using upload-large-folder tool

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  6. initial commit

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