MetaMath 7B
MetaMath 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
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
- MetaMath
- Released
- 2023-10-27
- Parameters
- 7B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
About
MetaMath-7B is a cutting-edge language model engineered for advanced mathematical reasoning, built on the LLaMA-2 framework. It excels in tackling complex, multi-step mathematical word problems and executing symbolic calculations. This model is distinguished by its fine-tuning on the MetaMathQA dataset, which enhances its capabilities beyond other open-source models of similar size, despite not fully matching the efficiency of closed-source alternatives like GPT-3.5-Turbo. The MetaMathQA dataset, instrumental in the model's training, is renowned for its compilation of mathematical questions from varied perspectives. Although the dataset is publicly accessible, MetaMath-7B's potential limitations in addressing certain mathematical challenges and its biases are areas necessitating further investigation.
MetaMath 7B is a model in the MetaMath family. No headline benchmark score is tracked for MetaMath 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.