Aquila Chat 7B
Aquila Chat 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 AquilaChat 7B is an advanced, open-source large language model developed by the Beijing Academy of Artificial Intelligence (BAAI). It distinguishes itself with its bilingual capabilities in both Chinese and English, leveraging the architectural benefits of GPT-3 and LLaMA. The model enhances efficiency through optimized operator implementations and a redesigned bilingual tokenizer, achieving training speeds almost eight times faster than comparable models. AquilaChat 7B's training data is equally robust, comprising 40% high-quality Chinese text from over 10,000 domestic sources, ensuring adherence to data regulations. Designed for both commercial and research applications, it provides comprehensive support for fluent dialogue, multilingual text generation, and integration with other models, albeit with some limitations in handling linguistic nuances and requiring significant computational resources.
Aquila Chat 7B is a model in the Aquila family. No headline benchmark score is tracked for Aquila Chat 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.