BLOOMZ 176B
BLOOMZ 176B 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
- BLOOMZ
- Released
- 2022-07-20
- Context
- 2k
- Parameters
- 176B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2021
- Specialization
- general
- Training
- finetuned
No tracked provider token pricing is available yet.
About
BLOOMZ 176B is an advanced multilingual large language model built on the BLOOM framework. It excels in multilingual tasks, supporting 46 natural languages and 13 programming languages, with notable proficiency in natural language processing tasks such as text generation, translation, and code generation. The model has 176 billion parameters, which makes it one of the largest open-access models available. Known for its strong zero-shot and few-shot learning capabilities, BLOOMZ improves upon its predecessor with multitask prompted finetuning, though its size requires significant computational resources for effective deployment.
BLOOMZ 176B is a model in the BLOOMZ family. The structured metadata tracks a 2k-token context window. No headline benchmark score is tracked for BLOOMZ 176B 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.