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  1. Upload MyAwesomeModel (step_1000): weights, config, tokenizer, figures, license, model card

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  2. Remove stray internal temp scripts

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  3. Upload MyAwesomeModel (card, figures, checkpoints, evaluation)

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  4. Clean up repo: remove evaluation harness and non-selected checkpoints; keep selected step_1000 model assets

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  5. Upload MyAwesomeModel (step_1000): weights, config, tokenizer, figures, model card & license

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  1. Remove stray .python_tmp files

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  2. Upload MyAwesomeModel workspace: README, checkpoints, evaluation, figures

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  3. Add README

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  4. Upload MyAwesomeModel (checkpoint step_1000): weights, config, figures and evaluation assets

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  1. Remove accidental .python_tmp scripts

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  2. Update MyAwesomeModel repo with workspace contents

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  3. Upload MyAwesomeModel (checkpoint step_1000): weights, config, tokenizer, figures, evaluation results

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  4. Upload MyAwesomeModel step_1000 checkpoint: weights, config, tokenizer, figures

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  1. Upload MyAwesomeModel repo contents

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  1. Release best checkpoint (step_1000): filled benchmark table, fixed eval scripts, add evaluation_results.json⁠

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  1. Release MyAwesomeModel: best checkpoint (step_1000), completed model card with benchmark results, figures, eval harness + results

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  2. Fill benchmark table with step_1000 scores (best checkpoint); remove non-required README content

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  3. Sync evaluation harness (incl. fixes to code_generation/dialogue_generation eval scripts)

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  4. Add MyAwesomeModel (step_1000 checkpoint): weights, config, tokenizer, figures, eval results, LICENSE and model card

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  5. Release MyAwesomeModel (checkpoint step_1000): weights, config, tokenizer, figures, eval results

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  1. Sync model card + full bundle: fixed eval scripts (code_generation/dialogue_generation), all checkpoints, harness

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  2. Release best checkpoint (step_1000): weights, config, tokenizer, figures, eval results, license

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  1. Upload MyAwesomeModel (checkpoint step_1000): weights, config, tokenizer, figures, README, LICENSE

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  1. Update MyAwesomeModel: sync model card, checkpoints, figures, and evaluation suite

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  2. Remove setuptools build artifacts

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  3. Remove stray vim swap file

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  4. Sync repo to provided bundle: remove stale/cross-run files and accidental temp scripts

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  5. Upload MyAwesomeModel: model card, checkpoints, evaluation harness, figures

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  6. Upload MyAwesomeModel (checkpoint step_1000): weights, config, tokenizer, figures, README with eval results, LICENSE

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  7. Remove accidental temp helper scripts

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  8. Upload MyAwesomeModel repository (model card, checkpoints, evaluation, figures)

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  9. Add MyAwesomeModel (step_1000): weights, config, tokenizer, figures, model card

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  1. Add MyAwesomeModel (selected checkpoint step_1000): weights, config, tokenizer files, figures, README with evaluation results, LICENSE

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  1. Add README

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  2. Upload model weights and config from step_1000 checkpoint

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  1. Add tokenizer_files/special_tokens/map.json

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  2. Add media/logo.png

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  3. Add pytorch_model.bin

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  4. Add config.json

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  5. Add README.md

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  6. Upload README.md with huggingface_hub

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  7. Upload figures/supp/ablation.png with huggingface_hub

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  8. Upload figures/main/latency.png with huggingface_hub

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  9. Upload figures/main/overview.png with huggingface_hub

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  10. Add assets/plots/pr.png

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  11. Add assets/plots/roc.png

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  12. Add pytorch_model.bin

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  13. Add config.json

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  14. Add README.md

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  15. Remove stale pre-existing files not in bundle

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