Galaxy (星汉Galaxy大模型)
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
- Dahan Software / Hanweb
- Organisation type
- Industry
- Country
- China
- Published
- 11 September 2024
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Multimodal, Language, Speech, Vision, Video
- Task
- Text summarization, Transcription, Chat, Question answering, Language modeling/generation, Speech recognition (ASR), Image captioning, Image classification, Video description, Retrieval-augmented 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
- 32B
- Training data
- tokens
In June 2024, the company released 0.7B, 7B, and 32B large models based on small computing power.
The Galaxy model is based on PB-level high-quality data and over 10TB of professional pre-trained data sets in the government and enterprise fields.
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
- CAC registry
- Last updated
- 11 February 2026
What the numbers mean
What this model is
Galaxy (星汉Galaxy大模型) was published by Dahan Software / Hanweb, in the country recorded as China, during September 2024. The publishing organisation is categorised as industry.
It works in the domain of Multimodal, Language, Speech, Vision, Video, and is recorded as performing the task of text summarization, Transcription, Chat, Question answering, Language modeling/generation, Speech recognition (ASR), Image captioning, Image classification, Video description, Retrieval-augmented generation.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Answers
Galaxy (星汉Galaxy大模型) — common questions
Galaxy (星汉Galaxy大模型)— when was it released?
It was published in September 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.
Galaxy (星汉Galaxy大模型)— what is it used for?
It works in the domain of Multimodal, Language, Speech, Vision, Video, and is recorded as handling the task of text summarization, Transcription, Chat, Question answering, Language modeling/generation, Speech recognition (ASR), Image captioning, Image classification, Video description, Retrieval-augmented generation. These are the areas it was designed around; they describe intent rather than a hard boundary.
Galaxy (星汉Galaxy大模型)— 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.
Galaxy (星汉Galaxy大模型)— 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.
Galaxy (星汉Galaxy大模型)— how many parameters does it have?
It has a parameter count of 32B. In June 2024, the company released 0.7B, 7B, and 32B large models based on small computing power. 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.
Galaxy (星汉Galaxy大模型)— who created it?
It was published by Dahan Software / Hanweb, based in China, an organisation categorised as industry.
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.