Cerebras GPT 590M
Cerebras GPT 590M has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Use it for
- Teams evaluating coding and agents
- 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
- 590M
- Architecture
- Decoder Only
- Knowledge cutoff
- 2020
- Specialization
- general
- Training
- finetuned
About
The Cerebras GPT 590M is a robust language model featuring 590 million parameters and a transformer architecture akin to GPT-3. It is optimized for natural language processing tasks such as text generation, completion, and summarization. Trained using the Chinchilla scaling laws and Cerebras' weight streaming technology, this model achieves high efficiency, offering faster training times and reduced costs. The Andromeda AI supercomputer facilitated its training on the extensive Pile dataset. Open-sourced under the Apache 2.0 license, it primarily supports English and requires additional tuning for other languages and conversational applications due to its lack of reinforcement learning from human feedback.
Cerebras GPT 590M is a proprietary model in the Cerebras GPT family. The structured metadata tracks a 2k-token context window, reasoning, and code execution. No headline benchmark score is tracked for Cerebras GPT 590M yet.
Top use-case fit: coding, agents, and build tasks
Coding
Included by capability and metadata signals in the decision map.
Agents
Included by capability and metadata signals in the decision map.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
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.