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 China, in September 2024. The organisation is categorised as industry.
It works in Multimodal, Language, Speech, Vision, Video, and is recorded as doing 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
When was Galaxy (星汉Galaxy大模型) released?
Galaxy (星汉Galaxy大模型) 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.
What is Galaxy (星汉Galaxy大模型) used for?
Galaxy (星汉Galaxy大模型) works in Multimodal, Language, Speech, Vision, Video, and is recorded as handling 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.
What GPU do I need to run Galaxy (星汉Galaxy大模型)?
None. Galaxy (星汉Galaxy大模型) 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 Galaxy (星汉Galaxy大模型) open source?
The licensing for Galaxy (星汉Galaxy大模型) was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
How many parameters does Galaxy (星汉Galaxy大模型) have?
Galaxy (星汉Galaxy大模型) has 32B parameters. 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.
Who created Galaxy (星汉Galaxy大模型)?
Galaxy (星汉Galaxy大模型) was published by Dahan Software / Hanweb, based in China, categorised as industry.
The other direction
Looking at it from the other side?
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