Wu Dao Aquila-33B
No estimate
No hardware requirements for this model
The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.
On record
Full specification
Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.
Origin
Who built this model, where, and when it was published.
- Organisation
- Beijing Academy of Artificial Intelligence / BAAI
- Organisation type
- Academia
- Country
- China
- Published
- 10 June 2023
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
- Task
- Chat, Code generation, Language modeling/generation, Question answering, Text summarization
Size
How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.
- Parameters
- 33B
- Training data
- tokens
33B for largest model: https://huggingface.co/BAAI/Aquila-7B
The training run
What it physically took to train: which chips, how many, for how long, and what that drew from the wall.
- Training hardware
- NVIDIA A100
Availability
Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.
- Weights
- Closed — provider access only
- Model access
- Unreleased
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Likely above 10²³ FLOP
- Yes
- Record confidence
- Confident
Sources
Where this record came from and when it was last checked.
- Last updated
- 28 November 2025
What the numbers mean
Background
Wu Dao Aquila-33B was published by Beijing Academy of Artificial Intelligence / BAAI, in the country recorded as China, during June 2023. The publishing organisation is categorised as academia.
It works in the domain of Language, and is recorded as performing the task of chat, Code generation, Language modeling/generation, Question answering, Text summarization.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Answers
Wu Dao Aquila-33B — common questions
Wu Dao Aquila-33B— when was it released?
It was published in June 2023. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
Wu Dao Aquila-33B— what is it used for?
It works in the domain of Language, and is recorded as handling the task of chat, Code generation, Language modeling/generation, Question answering, Text summarization. These are the areas it was designed around; they describe intent rather than a hard boundary.
Wu Dao Aquila-33B— what GPU do I need to run it?
None. This is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.
Wu Dao Aquila-33B— is it open source?
No. Its weights have not been published, so it exists only as a service controlled by its owner.
Wu Dao Aquila-33B— how many parameters does it have?
It has a parameter count of 33B. 33B for largest model: https://huggingface.co/BAAI/Aquila-7B. That figure is the total, and it is what decides how much memory the model needs — roughly half a gigabyte per billion at the compression most people use.
Wu Dao Aquila-33B— who created it?
It was published by Beijing Academy of Artificial Intelligence / BAAI, based in China, an organisation categorised as academia.
The other direction
Looking at it from the other side?
This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.