Aquila 7B
Aquila 7B 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
- Aquila
- Released
- 2023-10-12
- Parameters
- 7B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
No tracked provider token pricing is available yet.
About
The Aquila 7B model, developed by the Beijing Academy of Artificial Intelligence, stands out for its bilingual support catering to both Chinese and English languages. Building on the architectures of GPT-3 and LLaMA, it features efficient operator implementations and a novel bilingual tokenizer, significantly boosting training efficiency. The model leverages a well-curated data set, with a substantial portion being native Chinese texts, ensuring a deep cultural and linguistic understanding. Aquila 7B excels in a range of NLP tasks such as text generation and language understanding, and is open-sourced, with its use subject to commercial licensing agreements. Despite its robustness, it shares common limitations with large language models, such as language idiosyncrasies, and requires considerable computational resources. Further enhancing its versatility, variants like AquilaChat-7B and AquilaCode-7B have been developed, with future expansions planned.
Aquila 7B is a model in the Aquila family. No headline benchmark score is tracked for Aquila 7B 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.