Primary evidence
- InternLM-Math: Open Math Large Language Models Toward Verifiable ReasoningS1 · Primary research · Paper · 2024-02-09
- InternLM-Math models, evaluation code and formal-math resourcesS1 · Primary research · Repository
The project encodes reasoning, reward modeling, formal tasks, data augmentation and code-interpreter behavior in a unified sequence-to-sequence format.
InternLM-Math reported open-source state-of-the-art results across several math benchmarks and a 30.3% miniF2F score from its pretrained model without theorem-proving fine-tuning.
It represented a move toward general-purpose mathematical models that can switch between natural language, code and proof-assistant interfaces.
Significance rationale: InternLM-Math explored a single open model family spanning chain-of-thought, verification, code assistance and Lean theorem proving.
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