Aquila Chat 7B
Aquila Chat 7B is an early limited-data entry; LLMReference does not yet track enough provider, pricing, benchmark, or task-fit evidence to recommend it.
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
- Openness
- Proprietary
- License
- ProprietaryCommercial use: conditional
- Weights
- Not released
- Code
- Unknown
- Training
- Fine-tuned
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.
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.
No tracked provider token pricing is available yet.