Fact-checking and judges

Skywork-Reward

Reward models: they score how good a language model's answer is for the user. Used for fine-tuning your own models and picking the best of several answers.

Developer
Skywork (Kunlun Tech), China
First release
Sep 2024
Latest release
Jun 2025
Sizes
0.6B – 27B
License
Commercial use with conditionsV2 on Qwen3 — Apache 2.0; Llama-based versions — Llama 3.1/3.2 licenses; early versions — Skywork Community License
Russian
Not stated
Running
On your own serverAlso runs without a GPU
Industries
Software development, Customer support
Deploy on your server Hugging Face GitHub

What it does

  • Choosing the best of several bot answers
  • Scoring answer quality during model fine-tuning
  • Comparing models before rollout

Where it is used

Teams that fine-tune modelsChatbot developmentQuality control of AI services

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
no versions

Versions

  1. Skywork-Reward-V2 (8 моделей, 0.6B – 8B)
  2. Skywork-Reward v0.2
  3. Skywork-Reward Llama-3.1-8B и Gemma-2-27B

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 Skywork-Reward be used in a commercial project?

With conditions. License: V2 on Qwen3 — Apache 2.0; Llama-based versions — Llama 3.1/3.2 licenses; early versions — Skywork Community License. Restrictions vary — region, company revenue, attribution requirements. Have a lawyer check the terms before a commercial launch.

What hardware does Skywork-Reward 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 Skywork-Reward 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 Skywork-Reward and what does it cost?

The Skywork-Reward 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.

Similar models

Fact-checking and judgesPrometheus 2KAIST and LG AI Research (prometheus-eval) · South KoreaCommercial use allowed

An open judge model: it scores other models' answers against your criteria and explains the score. A replacement for paid models in the reviewer role.

DetailsTextQwenAlibaba · ChinaCommercial use with conditions

A family of language models with strong Russian language support, from small versions for a laptop to a flagship on par with commercial APIs.

Details

Source: huggingface.co/Skywork/Skywork-Reward-V2-Qwen3-8B. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.