RerankersComputer-use agents

R3 (R3-Embedding и R3-Rerank)

A pair of small Tencent models based on Qwen3 that pick the right skill for an AI agent for a given request: the embedding model finds candidates, the reranker chooses the best one.

Developer
Tencent, China
First release
Jul 2026
Latest release
Jul 2026
Sizes
0.6B
License
Commercial use allowedApache 2.0
Russian
Not stated
Running
On your own serverAlso runs without a GPU
Industries
Software development
Deploy on your server Hugging Face

What it does

  • Choosing a tool or skill for an AI agent
  • Routing requests between bot scenarios
  • Search across a catalog of internal tools

Where it is used

IT and software developmentTeams building AI agents

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. R3-Embedding-0.6B и R3-Rerank-0.6B

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 R3 (R3-Embedding и R3-Rerank) 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 R3 (R3-Embedding и R3-Rerank) 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 R3 (R3-Embedding и R3-Rerank) 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 R3 (R3-Embedding и R3-Rerank) and what does it cost?

The R3 (R3-Embedding и R3-Rerank) 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

Search and RAGQwen3 Embedding / RerankerAlibaba (Qwen) · ChinaCommercial use allowed

Embeddings and rerankers based on Qwen3, among the best open ones for multilingual search, including Russian. VL versions search images, screenshots and video.

DetailsRerankersBGE RerankerBAAI (Beijing Academy of Artificial Intelligence) · ChinaCommercial use allowed

Rerankers: they take passages found by search and reorder them by how well they actually match the question. v2-m3 is multilingual and lightweight, often paired with bge-m3.

Details

Source: huggingface.co/tencent/R3-embedding-0.6b. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.