
Open family of Polish large language models developed by a research consortium led by Wrocław University of Science and Technology.
✓ Active✓ Public access⚖ Open weightsLLM
Context window
8K (Mistral-based) / 128K (Llama 3.1-based)
tokens
Parameters
8B / 12B / 47B (8x7B MoE) / 70B
parameters
Release date
1 December 2024
Access:DownloadHostedDeployment:💻 Local☁ Cloud
Overview
Classification
LLM
Access & deployment
DownloadHosted
LocalCloud
Weights: Open weights
Key parameters
📏 Context: 8K (Mistral-based) / 128K (Llama 3.1-based)
🧩 Parameters: 8B / 12B / 47B (8x7B MoE) / 70B
✓ Fine-tuning
📥 Input: text
Technical specification
Context window
8K (Mistral-based) / 128K (Llama 3.1-based)
tokens
Parameters
8B / 12B / 47B (8x7B MoE) / 70B
parameters
License
CC BY-NC 4.0 (warianty „nc”) / Llama 3.1 Community License / Apache 2.0 (zależnie od wariantu)
Features:✓ Fine-tuning
Modalities
⬇ Input
text
⬆ Output
text
Capabilities and applications
Native model capabilities
Multilingual
Competence in many natural languages (from a few to over a hundred): understanding, generation, translation, and code-switching within a single conversation. Frontier models support a wide range of languages with comparable quality.
Category: language
Long context
Support for large context windows — tens to hundreds of thousands (or millions) of input tokens. Enables analysis of entire codebases, long documents, and many parallel conversations without losing earlier information. GPT-5.1 supports 400,000 tokens.
Category: language
Reasoning
The model's ability to reason logically and solve complex problems.
Category: reasoning
Coding
Generating, analysing and modifying code in many programming languages. Covers writing functions, debugging, refactoring, code review, and creating tests. Measured by benchmarks such as HumanEval and SWE-bench.
Category: coding
Technical architecture
Core Architecture
Model Form
Training Techniques