tsuzumi 7B

Closed weights NTT Communication Science Laboratories 7B parameters December 2023

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

7B

Training data
tokens

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 Japan, in December 2023. The organisation is categorised as industry.

It works in Language, and is recorded as doing 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

01

What is tsuzumi 7B used for?

tsuzumi 7B works in Language, and is recorded as handling chat, Language modeling/generation. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.

02

What GPU do I need to run tsuzumi 7B?

None. tsuzumi 7B 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.

03

Is tsuzumi 7B open source?

The licensing for tsuzumi 7B was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.

04

How many parameters does tsuzumi 7B have?

tsuzumi 7B has 7B parameters. 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.

05

Who created tsuzumi 7B?

tsuzumi 7B was published by NTT Communication Science Laboratories, based in Japan, categorised as industry.

06

When was tsuzumi 7B released?

tsuzumi 7B 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.

Source

Original publication

Record last updated 28 November 2025

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.