Aquila 33B
Aquila 33B 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
- 33B
- 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 Aquila 33B model is a powerful bilingual large language model created by the Beijing Academy of Artificial Intelligence, supporting both Chinese and English. With 33 billion parameters and a transformer architecture, it rivals prominent models like GPT-3. Notably, it boasts nearly eight times the training efficiency of earlier models, thanks to enhanced operator implementations and a redesigned bilingual tokenizer. The model excels in tasks such as text and code generation, and conversational AI, while being governed by an open-source commercial license. Despite its strengths, users should consider potential biases in training data and the computational resources required for deployment.
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.