TextComputer-use agentsMath and reasoning

Arete-27B

A fine-tune of the Chinese Qwen3.8-27B from Nous Research whose aim is to remove evasive, refusing and officially-Chinese-sounding answers on politically sensitive topics. By the authors own estimate on their test set, the factuality score rose from 2.32 to 2.98 out of 5 and the share of answers with propaganda fell from 22% to 0.9%, with general and agentic skills not visibly dropping. The authors state plainly that this transfers Western values onto a Chinese model and note that they addressed a cause but not all the behavior. The Propaganda_Eval test set is published too. The model reflects the authors choice of values, so for tasks that need a neutral tone it should be checked on your own examples.

Developer
Nous Research, USA
First release
Nov 2026
Latest release
Nov 2026
Sizes
27B
License
Commercial use allowedApache 2.0
Russian
Not stated
Running
On your own serverNeeds a GPU
Industries
Media and production, Customer support
Deploy on your server Hugging Face

What it does

  • an assistant for news and history questions without evasive answers
  • checking and comparing model behavior on political topics
  • a base for your own fine-tuning toward the values you need

Where it is used

media and researcheducationsupport and reference services

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
no versions
1 GPUOne GPU with 16–80 GB — mid-size versions
fits
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. Arete-27B (на базе Qwen3.8-27B)

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.

Frequently asked questions

Can Arete-27B 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 Arete-27B need?

At minimum: One GPU with 16–80 GB — mid-size versions. Without a GPU the model is not practical. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does Arete-27B 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 Arete-27B and what does it cost?

The Arete-27B 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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TextQwenAlibaba · ChinaCommercial use with conditions

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DetailsTextHermesNous Research · USACommercial use with conditions

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DetailsTextGemmaGoogle · USACommercial use allowed

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Details

Source: huggingface.co/NousResearch/Arete-27B. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.