BLOOMZ 7.1B
BLOOMZ 7.1B 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
- 7.1B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2021
- Specialization
- general
- Training
- finetuned
No tracked provider token pricing is available yet.
About
BLOOMZ 7.1B is a large language model part of the BLOOMZ & mT0 family, known for its zero-shot capability in following human instructions across multiple languages. It's a decoder-only model with a 7.1 billion parameter architecture shared with BLOOM-7B1. Fine-tuned on the multilingual xP3 dataset using English prompts, BLOOMZ 7.1B also features a variant BLOOMZ-7B1-MT trained on xP3mt with machine-translated prompts. Its capabilities include text translation, question answering, and text generation, but performance hinges on precise prompt engineering. Despite its cross-lingual prowess, it isn't suited for scenarios demanding high factual accuracy.
BLOOMZ 7.1B is a model in the BLOOMZ family. The structured metadata tracks a 2k-token context window. No headline benchmark score is tracked for BLOOMZ 7.1B 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.