InternLM2 Math 7B
InternLM2 Math 7B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 4k context window
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- InternLM2-Math
- Released
- 2024-05-24
- Context
- 4k
- Parameters
- 7B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2023-08
- Specialization
- general
- Training
- finetuned
About
InternLM2 Math 7B is a bilingual large language model specialized in advanced mathematical reasoning and problem-solving across Chinese and English languages. It functions as a solver, prover, verifier, and augmentor of math problems, showcasing capabilities in theorem proving, code interpretation, and reward modeling. Trained on approximately 100 billion high-quality math-related tokens and 2 million bilingual supervised data points, the model is designed for both research and commercial applications, including educational tools and automated theorem proving systems. Despite its strengths, it has limitations in specific problem types and potential biases from its training data.
InternLM2 Math 7B is a model in the InternLM2-Math family. The structured metadata tracks a 4k-token context window. No headline benchmark score is tracked for InternLM2 Math 7B yet.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.