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+ Model from the [neural theorem proving tutorial vII](https://github.com/cmu-l3/ntptutorial-II).
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+ A deepseek-coder 1.3B model finetuned on [ntp-mathlib-instruct-context](https://huggingface.co/datasets/l3lab/ntp-mathlib-instruct-context).
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+ It is specifically finetuned for Lean 4 tactic prediction given proof states and optional file contexts. See the tutorial for code and more information.
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+ #### Performance
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+ The model achieves 29.5% (72/244) on Lean 4 MiniF2F using the standard search setting (best-first search with beam search expansions and a beam size of 32).
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+ #### Citation
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+ Until an associated preprint is available, please cite the tutorial's repository:
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+ ```
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+ @misc{ntptutorialII,
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+ author = {Sean Welleck},
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+ title = {Neural theorem proving tutorial II},
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+ year = {2024},
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+ publisher = {GitHub},
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+ journal = {GitHub repository},
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+ howpublished = {\url{https://github.com/cmu-l3/ntptutorial-II}},
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+ }
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+ ```