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PLLuM

Open Polish large language models for public administration and businesses, with native Polish language support and on-premise deployment.

Price fromnot listed
Freeyes, free plan
Platformsweb, api
PLLuM - zrzut strony

What is PLLuM?

PLLuM (Polish Large Language Model) is a family of open Polish language models built to support digital sovereignty in Poland. The models were trained on large, varied datasets meant to reflect the complexity of Polish, and they are offered for download on Hugging Face, with a chat interface available for direct use. The project lists 37 models, and the homepage shows examples such as 8B, 12B and 70B variants, chat, instruct and base types, under Apache 2.0, cc-by-nc-4.0 or llama3.1 licenses.

In practice, institutions can use PLLuM in three ways: a public chatbot that answers citizens' questions, a local assistant that helps staff draft letters and summarise documents, or a RAG system that searches an internal document base such as regulations and procedures and answers based on them. Deployment runs on-premise on a GPU server, and the project recommends defining needs and preparing clean text documents before involving an integrator.

Key features

  • Polish-language models trained on large, diverse Polish datasets
  • Open model weights downloadable from Hugging Face
  • Built-in chat interface (GUI) for direct use
  • RAG support for querying internal document bases
  • On-premise deployment with full control over data
  • Models in 8B, 12B and 70B sizes, in chat, instruct and base variants

Who is it for

  • public administration and government offices
  • businesses that need Polish-language AI
  • developers and researchers working with Polish language models
  • IT teams deploying AI on-premise

How to get started with PLLuM

  1. Go to the HuggingFace platform and find the PLLuM models.
  2. Check the license of the chosen model before using it.
  3. Run the model locally on a server with a GPU card.
  4. Connect the model to the chat or internal document base.
Choose it if
  • You need a model that understands Polish syntax and official terminology.
  • You want full control over data by running the system locally.
  • You want to connect the model to your office's document base via RAG.
Skip it if
  • You don't have a server with a GPU card or an IT team for deployment.
  • You need the model for commercial use and the chosen model has a cc-by-nc-4.0 license.

Pros and cons

Pros
  • Native support for the Polish language
  • Open, free access to model weights on Hugging Face
  • Suitable for on-premise deployment, keeping data under the organisation's control
Cons
  • Some models are licensed non-commercial only (cc-by-nc-4.0)
  • Deployment requires a GPU server and IT work

PLLuM pricing

The vendor does not publish prices in a readable form (often pricing is shown only after signing in).

Is PLLuM free?

Yes, there is a free plan. All models are available free of charge on Hugging Face; licences differ (Apache 2.0 and llama3.1 allow commercial use, cc-by-nc-4.0 is non-commercial only).

PLLuM alternatives

ToolPrice fromFree planCategory
Microsoft Copilot logoMicrosoft Copilot27.73 EUR/motrialChatbots & AI assistants
Grok logoGrok30 USD/moyesChatbots & AI assistants
Monica logoMonica8,3 USD/moyesChatbots & AI assistants
ChatGPT logoChatGPT34,99 PLN/moyesChatbots & AI assistants
Claude logoClaude17 USD/moyesChatbots & AI assistants
DeepSeek logoDeepSeek0.02 USD?Chatbots & AI assistants

All alternatives to PLLuM →

FAQ

What is PLLuM used for?

Open Polish large language models for public administration and businesses, with native Polish language support and on-premise deployment.

Is PLLuM free?

Yes, there is a free plan. All models are available free of charge on Hugging Face; licences differ (Apache 2.0 and llama3.1 allow commercial use, cc-by-nc-4.0 is non-commercial only).

How much does PLLuM cost?

The vendor does not publish prices publicly or requires sign-in.

What are the best PLLuM alternatives?

Closest alternatives: Microsoft Copilot, Grok, Monica, ChatGPT, Claude.

Data checked October 12, 2026 on the vendor website (pllum.org.pl).