InternLM3
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
- Shanghai AI Lab
- Organisation type
- Academia
- Country
- China
- Published
- 15 January 2025
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
- Task
- Language modeling/generation, Chat
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
- 8B
- Training data
- tokens
8B
Availability
Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.
- Training code
- Open source
https://huggingface.co/internlm/internlm3-8b-instruct
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
- internlm/internlm3-8b-instruct
- Last updated
- 28 November 2025
What the numbers mean
What this model is
InternLM3 was published by Shanghai AI Lab, in the country recorded as China, during January 2025. It comes out of an organisation categorised as academia.
It works in the domain of Language, and is recorded as performing the task of language modeling/generation, Chat.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Answers
InternLM3 — common questions
InternLM3— what is it used for?
It works in the domain of Language, and is recorded as handling the task of language modeling/generation, Chat. These are the areas it was designed around; they describe intent rather than a hard boundary.
InternLM3— 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.
InternLM3— 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.
InternLM3— how many parameters does it have?
It has a parameter count of 8B. 8B. 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.
InternLM3— who created it?
It was published by Shanghai AI Lab, based in China, an organisation categorised as academia.
InternLM3— when was it released?
It was published in January 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.