Aquila Chat 33B

Released
2023-10-12
Last refreshed
2026-10-02
Status
Researched 15d ago
ProprietaryCommercial use: conditional

Aquila Chat 33B is an early limited-data entry; LLMReference does not yet track enough provider, pricing, benchmark, or task-fit evidence to recommend it.

Specifications
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
Created by

Open-source AI fostering global collaboration

Beijing, China
Founded 2018
Website
Pricing

No tracked provider pricing is available yet.

About

AquilaChat-33B is a bilingual large language model (LLM) developed by the Beijing Academy of Artificial Intelligence, supporting both Chinese and English. It utilizes the transformer architecture similar to models like GPT-3 and LLaMA. The training data consists of a high-quality corpus with approximately 40% Chinese content from over 10,000 domestic internet sources and literature. Compliant with domestic data regulations, AquilaChat-33B is designed for dialogue and multilingual generation tasks. It offers extensibility for integration with other models, such as AltDiffusion for multimodal tasks.

Providers

No active provider routes are tracked 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.