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@@ -4,6 +4,12 @@ base_model:
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  - Qwen/Qwen3-32B
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  ---
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  ```
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  import torch
 
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  - Qwen/Qwen3-32B
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  ---
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+ This is the formalizer for tranlating infromal math problem into formal statement in Lean 4. In Goedel-Prover-V2 project we use this formalizer in generating lean4 statements.
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+ Different from all previous open-source formalizers, this formalizer has the ability to think before generating the lean4 statements, which significantly increases the acurracy of the translation.
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+ In our internal evaluation, we test the performance of formalizers on a eval set containing 300 informal statements from Omni-MATH. Kimina-formalizer-8B successfully translates 161/300 statements, while Goedel-Formalizer-V2-32B success in 228 statements.
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+ Here is an example code to use this formalizer:
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  ```
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  import torch