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InternLM / Intern-S

Models from Shanghai AI Laboratory. The early InternLM line is general-purpose; the new Intern-S1/S2 is scientific: it understands formulas, molecules, charts and images.

Developer
Shanghai AI Laboratory, China
First release
Jul 2023
Latest release
Sep 2026
Sizes
1.8B – about 1T
License
Commercial use allowedInternLM3 and Intern-S1/S2: Apache 2.0; InternLM2 and 2.5: own license, commercial use via a free application
Russian
Not stated
Ready-made builds
GGUF
Running
Available in OllamaAlso runs without a GPU
Industries
Science and research, Education, Software development
Deploy on your server Hugging Face GitHub

What it does

  • Research assistant: papers, formulas, data
  • Analysis of scientific and technical documents
  • Corporate chat on small models

Where it is used

Research institutes and R&DChemistry and pharmaEngineering departmentsEducation

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
fits
1 GPUOne GPU with 16–80 GB — mid-size versions
fits
ClusterServer with several GPUs — flagship versions
fits

Versions

  1. Intern-S2-397B
  2. Intern-S1-Pro
  3. Intern-S1
  4. InternLM3-8B
  5. InternLM2.5
  6. InternLM2
  7. InternLM-20B
  8. InternLM-7B

How to run it

With Ollama — the fastest wayInstall Ollama on your computer or server and find the model in its library by name. Good enough to try the model on your own tasks in one evening.Find it in the Ollama library
On your own serverWeights are downloaded from Hugging Face and served with vLLM (load and API) or llama.cpp (modest hardware). The model then runs in a closed network with no per-request fees.Hugging Face
How much hardware you needCalculate the VRAM for the model size, context length and number of concurrent requests.Open the hardware calculator

I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems. Quantization compresses a model so it takes less video memory and runs on more modest hardware. Answers change slightly, so quality is checked on your own examples.

Frequently asked questions

Can InternLM / Intern-S be used in a commercial project?

Yes. License: InternLM3 and Intern-S1/S2: Apache 2.0; InternLM2 and 2.5: own license, commercial use via a free application. It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does InternLM / Intern-S need?

At minimum: Laptop or regular PC, up to 8 GB of VRAM — smaller versions. Some versions also run on an ordinary CPU, without a GPU. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does InternLM / Intern-S support Russian?

The model card does not list languages, so Russian support cannot be promised — it has to be tested on your own examples.

Where can I download InternLM / Intern-S and what does it cost?

The InternLM / Intern-S weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.

How I deploy it for clients

  1. SelectionI pick the model size for your task and hardware and test it on your examples.
  2. DeploymentI deploy it on your server or in a closed network and provide an API.
  3. Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
  4. IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.

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Details

Source: huggingface.co/internlm/Intern-S2-397B. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.