Cerebras GPT 7B
Cerebras GPT 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 2k 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
- Cerebras GPT
- Released
- 2023-03-13
- Context
- 2k
- Parameters
- 7B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2020
- Specialization
- general
- Training
- finetuned
About
The Cerebras GPT 7B is a large language model constructed by Cerebras Systems. It features a GPT-3 style transformer architecture with 7 billion parameters, trained on the diverse Pile dataset. This model excels in tasks like text generation, language understanding, and handling long sequences up to 2048 tokens, making it ideal for natural language processing applications. Notably, it uses weight streaming technology for efficient scaling and is open-source under the Apache 2.0 license. It supports research into LLM scaling laws, with cloud deployment available via the Cerebras Model Studio.
Cerebras GPT 7B is a model in the Cerebras GPT family. The structured metadata tracks a 2k-token context window. No headline benchmark score is tracked for Cerebras GPT 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.