KwooLa
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
- Harbin Institute of Technology
- Organisation type
- Academia
- Country
- China
- Published
- 2 November 2024
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
- Task
- Chat, Question answering
- Base model
- Qwen1.5-14B
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
- 14B
- Training data
- tokens
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
- API access
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Confident
Sources
Where this record came from and when it was last checked.
- Reference
- HIT-Kwoo / In La
- Last updated
- 28 November 2025
What the numbers mean
Background
KwooLa was published by Harbin Institute of Technology, in China, in November 2024. academia is the category the publisher falls under.
It works in Language, and is recorded as doing chat, Question answering.
It is derived from Qwen1.5-14B rather than trained from scratch, which is the usual way a specialised model is produced.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Answers
KwooLa — common questions
Who created KwooLa?
KwooLa was published by Harbin Institute of Technology, based in China, categorised as academia.
When was KwooLa released?
KwooLa was published in November 2024. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
What is KwooLa used for?
KwooLa works in Language, and is recorded as handling chat, Question answering. These are the areas it was designed around; they describe intent rather than a hard boundary.
What GPU do I need to run KwooLa?
None. KwooLa 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.
Is KwooLa open source?
No. KwooLa has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does KwooLa have?
KwooLa has 14B parameters. 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.
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.