InternLM2 Math 20B
InternLM2 Math 20B 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
- 20B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2023-08
- Specialization
- general
- Training
- finetuned
About
InternLM2 Math 20B is a cutting-edge bilingual large language model designed for advanced mathematical reasoning, proficient in both Chinese and English. With 20 billion parameters, it serves as a solver, prover, verifier, and augmentor for mathematical challenges. The model excels in solving complex problems, proving theorems, verifying logical steps, and even generating Lean 3 code for formal proofs. It was trained on a vast dataset of over 100 billion math-related tokens and further refined with bilingual supervised data, employing sophisticated decontamination techniques to ensure integrity. Despite its robust capabilities, it may sometimes omit calculation steps and exhibit performance variability, especially in code generation for Chinese queries.
InternLM2 Math 20B 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 20B 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.