Harrier (harrier-oss)
Microsoft's 2026 multilingual embeddings with context up to 32K tokens; Russian is on the language list. The 270M and 0.6B versions run on a regular server, 27B is the most accurate.
- Developer
- Microsoft, USA
- First release
- Mar 2026
- Latest release
- Mar 2026
- Sizes
- 270M – 27B
- License
- Commercial use allowedMIT
- Russian
- Supported
- Running
- On your own serverAlso runs without a GPU
- Industries
- Software development, Customer support, Documents and accounting, Legal
What it does
- Multilingual knowledge base search
- Picking passages for RAG
- Search across long documents
Where it is used
Hardware requirements
Versions
- harrier-oss-v1 (270M, 0.6B, 27B)
How to run it
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 Harrier (harrier-oss) be used in a commercial project?
Yes. License: MIT. It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does Harrier (harrier-oss) 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 Harrier (harrier-oss) support Russian?
Yes, Russian is listed on the model card.
Where can I download Harrier (harrier-oss) and what does it cost?
The Harrier (harrier-oss) 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
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
Similar models
Embeddings and rerankers based on Qwen3, among the best open ones for multilingual search, including Russian. VL versions search images, screenshots and video.
DetailsSearch and RAGE5 / multilingual-e5Microsoft · USACommercial use allowedProven models for semantic search. The multilingual versions work well with Russian and are still a reliable base for RAG.
DetailsSearch and RAGEmbeddingGemmaGoogle · USACommercial use with conditionsA small multilingual embedding model based on Gemma 3 that runs even on a phone or laptop without internet.
DetailsSource: huggingface.co/microsoft/harrier-oss-v1-27b. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


