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Kevew/nemo_finetuned_minif2f
nemo_finetuned_minif2f is a machine learning model from Kevew. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This model is fine-tuned on tactic states from the Mathlib4 dataset and leverages inference data from MiniF2F Kiminaprover8b. It builds upon the NVIDIA OpenReasoning Nemotron 7B base model.
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From the Hugging Face model README
This model is fine-tuned on tactic states from the Mathlib4 dataset and leverages inference data from MiniF2F Kiminaprover8b. It builds upon the NVIDIA OpenReasoning Nemotron 7B base model.
| task | dataset | metric | value | pass@ |
|---|---|---|---|---|
| MiniF2F | MiniF2F benchmark | accuracy | 39.6% | 32 |
You can load the model using the Hugging Face Transformers library and apply it to tasks involving tactic state prediction and theorem proving.
For more details, check out the datasets and base model referenced above.