Gopher 280B
Gopher 280B 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
- Chinchilla
- Released
- 2022-03-29
- Parameters
- 280B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
No tracked provider token pricing is available yet.
About
Gopher 280B, developed by DeepMind, is a significant advancement in the field of natural language processing, featuring an impressive 280 billion parameters. This model surpasses OpenAI's GPT-3 in size while employing a Transformer-based architecture with modifications like RMSNorm and relative positional encoding to enhance performance on longer text sequences. Trained on a massive 10.5 TB dataset, Gopher excels in various NLP tasks such as reading comprehension and toxic language detection but faces challenges in logical reasoning tasks. Despite its capabilities, the model still exhibits limitations like repetition and bias reflection, prompting the need for improved training techniques to enhance accuracy and mitigate biases 124.
Gopher 280B is a model in the Chinchilla family. No headline benchmark score is tracked for Gopher 280B 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.