tsuzumi 7B
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
- NTT Communication Science Laboratories
- Organisation type
- Industry
- Country
- Japan
- Published
- 1 December 2023
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
- Task
- Chat, Language modeling/generation
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
- 7B
- Training data
- tokens
7B
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.
- Reference
- NTT's Large Language Model "tsuzumi" is Here!
- Last updated
- 28 November 2025
What the numbers mean
What this model is
tsuzumi 7B was published by NTT Communication Science Laboratories, in the country recorded as Japan, during December 2023. The publishing organisation is categorised as industry.
It works in the domain of Language, and is recorded as performing the task of chat, Language modeling/generation.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Answers
tsuzumi 7B — common questions
tsuzumi 7B— what is it used for?
It works in the domain of Language, and is recorded as handling the task of chat, Language modeling/generation. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
tsuzumi 7B— 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.
tsuzumi 7B— is it open source?
The licensing was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
tsuzumi 7B— how many parameters does it have?
It has a parameter count of 7B. 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.
tsuzumi 7B— who created it?
It was published by NTT Communication Science Laboratories, based in Japan, an organisation categorised as industry.
tsuzumi 7B— when was it released?
It was published in December 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.
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.