Instructions to use prereasoner/prereasoner-weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prereasoner/prereasoner-weights with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Commit History
2 days ago
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Readers: v13b1 and v13a1 in slots c and d (trained with SELECT * and sheet language); the choice refitted on that pool, threshold 0.1405
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Readers: v12b1 and v12a1 in slots c and d (trained with the grouped structure); the choice refitted on that pool, threshold 0.1434
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3 days ago
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Readers v11: the choice (readers/choice.json) replaces the refusal; cards describe the four readers
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Readers v11: four reading models (stage2_a to stage2_d); stage 1 and the re-scorer unchanged
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4 days ago
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Add the own-data readers (readers/: schema items, two reading models, re-scorer, refusal); cards describe them
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23 days ago
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Remove the retired sql_proposer adapter; cards describe only the loaded bundle
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Model cards: no model in this bundle writes SQL (source e1484e9)
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Add the SQL proposer adapter (sql_proposer/) and refresh the model cards
Verified signatureLoRA adapter on Qwen/Qwen2.5-0.5B that proposes own-data SQL candidates; pinned by engine/data/weights_manifest.json in the source repository.3455714
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Promote Schema.org v2 named-dimension head
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Promote split-isolated Schema.org v4 property head
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Publish accurate PreReasoner model cards
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Add Schema.org named-property head (corpus 02aff8e50dad)
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model card
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nc=90 property+intent+software weights (Spider 36.1%/56.9%)
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initial commit
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