Commit History
2 days ago
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Card: LOTUS logo banner under the title
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Add LOTUS logo banner
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Update README.md
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Update README.md
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Update README.md
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Card: low-level quickstart uses LotusModel
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LotusModel rename: lotus_model.py, package __init__, load_lotus loader
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Rename model class: OpenTSLMSPFixPos2D -> LotusModel (lotus_model.py)
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Card: Training data section from the paper (Phase 1 corpora + synthetic corpus Table 5, Phase 2 five datasets)
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Card: Use it shows both input cases with the exact series and verified outputs
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load_lotus: explicit Case 1 (typed series) / Case 2 (CSV) interface with ask_csv
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Card: three-line 'Use it' quickstart via load_lotus
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Add load_lotus.py one-import loader with vendored model code
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Update README.md
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Try-it: tutorial notebook now runs the LOTUS checkpoint only
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Point Try-it at the Colab tutorial (Space hosting needs PRO)
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Model card: LOTUS (forecast grounding) from the paper; results, quickstart, demo link
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Upload lotus_qwen3-0.6b_joint-5task-finetune.pt with huggingface_hub
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Upload lotus_gemma-3-1b-pt_joint-5task-finetune.pt with huggingface_hub
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Document Lotus: mechanism, evaluation instructions, mirrored eval script; drop legacy artifact
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Add the evaluation entry-point script
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Remove legacy April-2026 artifact (different architecture, not part of this benchmark)
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Rename to Lotus in README
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Rename our checkpoint to lotus_*
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Document the soft-prompt (ours) checkpoint
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Add soft-prompt (FixPos2D) gemma-3-270m joint-5task checkpoint
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Upload README.md with huggingface_hub
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Upload opentslm-flamingo_gemma-3-270m_sequential-curriculum.pt with huggingface_hub
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initial commit
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