Aquila Chat 2 70B Expressive
Aquila Chat 2 70B Expressive 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
- Aquila 2
- Released
- 2023-11-02
- Context
- 2k
- Parameters
- 70B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
No tracked provider token pricing is available yet.
About
AquilaChat2-70B-Expr is a cutting-edge large language model designed by the Beijing Academy of Artificial Intelligence (BAAI) as part of their Aquila2 series. This experimental model boasts 70 billion parameters and excels in text generation, dialogue, and reasoning across both Chinese and English languages. It is built on a bilingual dataset, enabling native-like fluency. The model is open-source, with its weights and training code available for further research and development. Although powerful, it remains an experimental version, thus its performance may vary and be subject to limitations common in AI models, such as biases and potential gaps in up-to-date knowledge.
Aquila Chat 2 70B Expressive is a model in the Aquila 2 family. The structured metadata tracks a 2k-token context window. No headline benchmark score is tracked for Aquila Chat 2 70B Expressive 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.