Math and reasoningText

QED-Nano

A small 4B model on Qwen3 that writes mathematical proofs in plain language almost at the level of large models. Runs on a laptop.

Developer
LM Provers (CMU, Hugging Face, ETH Zurich, Project Numina), USA, Switzerland, France
First release
Feb 2026
Latest release
Feb 2026
Sizes
4B
License
Commercial use allowedApache 2.0
Russian
Not supported
Ready-made builds
GGUF, MLX (Apple)
Running
On your own serverAlso runs without a GPU
Industries
Science and research, Education
Deploy on your server Hugging Face GitHub

What it does

  • Checking the logic of reasoning and workings
  • Step-by-step explanations of solutions
  • Training and olympiad preparation

Where it is used

EducationResearch groups

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
no versions
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. QED-Nano и QED-Nano-SFT

How to run it

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 QED-Nano be used in a commercial project?

Yes. License: Apache 2.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does QED-Nano 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 QED-Nano support Russian?

No. The model card lists its languages and Russian is not among them.

Where can I download QED-Nano and what does it cost?

The QED-Nano 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/lm-provers/QED-Nano. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.