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Model from the [neural theorem proving tutorial vII](https://github.com/cmu-l3/ntptutorial-II). 


A deepseek-coder 1.3B model finetuned on [ntp-mathlib-instruct-context](https://huggingface.co/datasets/l3lab/ntp-mathlib-instruct-context).

It is specifically finetuned for Lean 4 tactic prediction given proof states and optional file contexts. See the tutorial for code and more information.

#### Performance

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). 


#### Citation

Until an associated preprint is available, please cite the tutorial's repository:
```
@misc{ntptutorialII,
  author = {Sean Welleck},
  title = {Neural theorem proving tutorial II},
  year = {2024},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/cmu-l3/ntptutorial-II}},
}
```