tsuzumi 7B upgrade 2024
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
- 11 April 2024
- Authors
- Kyosuke Nishida
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language, Multimodal, Vision
- Task
- Chat, Language modeling/generation, Document classification
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
- 1,000,000,000,000 tokens
7B
1T+ from https://ntt-research.com/2024-upgrade-reality-tsuzumi/ 5:55
Training compute
The arithmetic performed to train the model, measured in floating-point operations. It is a measure of what the training run cost, not of how fast the finished model answers you.
- Training compute
- 4.2 × 10²² FLOP
- How it was established
- Operation counting
6ND = 6 * 7000000000 * 1000000000000 = 4.2e+22 (unknown number of epochs -> 'likely' confidence)
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Likely
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 upgrade 2024 was published by NTT Communication Science Laboratories, in the country recorded as Japan, during April 2024. The category the publisher falls under is industry.
It works in the domain of Language, Multimodal, Vision, and is recorded as performing the task of chat, Language modeling/generation, Document classification.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
How it was trained
Training it took a computation budget of roughly 4.2 × 10²² FLOP. That figure measures what producing the model cost, and has no bearing on how fast it answers.
It was trained on a corpus of about 1,000,000,000,000 tokens of text.
Answers
tsuzumi 7B upgrade 2024 — common questions
tsuzumi 7B upgrade 2024— 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 upgrade 2024— 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 upgrade 2024— who created it?
It was published by NTT Communication Science Laboratories, based in Japan, an organisation categorised as industry.
tsuzumi 7B upgrade 2024— when was it released?
It was published in April 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.
tsuzumi 7B upgrade 2024— what is it used for?
It works in the domain of Language, Multimodal, Vision, and is recorded as handling the task of chat, Language modeling/generation, Document classification. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
tsuzumi 7B upgrade 2024— how much compute was used to train it?
Training consumed around 4.2 × 10²² FLOP. That measures what producing the model cost and says nothing about how quickly it answers once trained — inference speed comes from memory bandwidth, not from the training budget.
tsuzumi 7B upgrade 2024— 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.
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.