Bielik — local AI model by SpeakLeash / ACK Cyfronet AGH
Written by Jakub Rusinowski · Last updated
Poland's open LLM, trained on Polish large-scale computing infrastructure (PLGrid) on a corpus curated by the SpeakLeash team. v3 replaced the tokenizer with APT4, built specifically for Polish, which is why it does more with its parameters on Polish text than a general multilingual model of the same size.
Variants
The smallest Bielik variant needs about 7 GB of VRAM at Q4_K_M — quantized weights plus framework overhead, before any KV cache.
| Model | VRAM at Q4 | VRAM | Context | Run it |
|---|---|---|---|---|
| Bielik PL 11B v3.0 Instruct → 11B | ~7.4 GB | 32,768 | ollama run bielik |
Memory is quantized weights plus overhead at Q4_K_M, from the same engine as the GPU & VRAM checker.
How to run Bielik locally
Install Ollama, then pull the tag.
ollama run bielikPick a size above for its own VRAM figure, speed estimate and install command.
Licence
Commercial use permitted. No usage restrictions beyond attribution.
Applies to: Bielik PL 11B v3.0 InstructRecommended GPU
The cheapest catalogued GPU that runs Bielik locally (min 7 GB VRAM) is the Intel Arc B570 (10 GB).
Bielik — frequently asked questions
How much VRAM does Bielik need?
Bielik needs about 7 GB VRAM at Q4_K_M quantization for its smallest variant. Variants: Bielik PL 11B v3.0 Instruct (7 GB, Q4_K_M). On Apple Silicon, unified memory counts toward this requirement.
Can I run Bielik on an RTX 4090 (24 GB)?
Yes — Bielik runs on an RTX 4090 (24 GB) and other 24 GB cards such as the RTX 3090. Smaller variants also fit comfortably on 8–16 GB GPUs at Q4_K_M.
What quantization should I use for Bielik?
Q4_K_M is the best balance of quality and VRAM for Bielik in most cases. Choose Q8_0 for near-lossless quality if you have spare VRAM, or smaller quants (Q3/Q2) only when memory is tight.
How do I run Bielik with Ollama?
Bielik has no local Ollama tag — the published tag is cloud-hosted, so running it sends your prompts to a hosted GPU rather than your own machine.