Bielik PL 11B v3.0 Instruct — VRAM, Speed & Local Setup

Written by Jakub Rusinowski · Last updated September 19, 2026

Model libraryBielik → Bielik PL 11B v3.0 Instruct

11B instruct model trained across 32 European languages with Polish cherry-picked and processed by hand. The APT4 tokenizer encodes Polish in fewer tokens than a general vocabulary, so a given context window holds more Polish text. Fits a 12 GB card at Q4.

Bielik PL 11B v3.0 Instruct needs about 7 GB of VRAM at Q4_K_M — quantized weights plus framework overhead, before any KV cache. On Apple Silicon that figure comes out of unified memory.

Specifications

Parameters11 Billion
Context window32,768
ArchitectureDense
ProviderSpeakLeash / ACK Cyfronet AGH
LicenceApache 2.0
Specified atQ4_K_M
System RAM16 GB
Record updated2026-09-19

Corroborated — Two or more independent sources agree on these figures, but the model card itself was not retrieved. Treat the numbers as good rather than confirmed. Still unconfirmed: license, context, releaseDate.

Licence

Apache-2.0commercial use permitted. Commercial use permitted. No usage restrictions beyond attribution.

VRAM and Speed by Quantization

Modelled on a reference NVIDIA RTX 4090 (24 GB). Weights plus framework overhead only — this model publishes no architecture we can read, so no KV cache is included. A real session needs more; the figure is a floor, not a target. Speed figures are ESTIMATES from the memory-bandwidth roofline described on the methodology page, not benchmarks we ran — rows marked measured come from published or reader-submitted runs. VRAM here includes the KV cache, so it reads higher than the headline figure above, which does not.

QuantBits/weightWeightsVRAM neededEst. speedFit on 24 GB
Q2_K2.633.6 GB4.4 GB~127 tok/s (est.)Fits comfortably
Q3_K_M3.414.7 GB5.5 GB~108 tok/s (est.)Fits comfortably
Q4_K_M4.836.6 GB7.4 GB~84 tok/s (est.)Fits comfortably
Q5_K_M5.677.8 GB8.6 GB~75 tok/s (est.)Fits comfortably
Q6_K6.569 GB9.8 GB~67 tok/s (est.)Fits comfortably
Q8_08.5011.7 GB12.5 GB~54 tok/s (est.)Fits comfortably
F1616.0022 GB22.8 GB~31 tok/s (est.)Tight fit

Want to set your own context length and KV-cache quantization? Use the interactive VRAM calculator.

Buy This HardwareIntel Arc B570 10GB — 10 GB VRAM · 150 W board powerDeploy in the Cloud NowRTX 4090 on RunPod — from $0.34/hr · rate checked 2026-07

or compare on Vast.ai from $0.35/hr (typical low · varies)

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Recommended GPU

The cheapest catalogued GPU that runs Bielik PL 11B v3.0 Instruct is the Intel Arc B570 (10 GB).

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Intel Arc B570 10GB
10 GB VRAM · 150 W board power
2026 prices are volatile — check the current listing.
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How to Run Bielik PL 11B v3.0 Instruct

Install Ollama, then run:

ollama run bielik

Weights on Hugging Face: speakleash/Bielik-PL-11B-v3.0-Instruct.

Best for: polish, multilingual, chat, european languages.

Bielik PL 11B v3.0 Instruct — Frequently Asked Questions

How much VRAM does Bielik PL 11B v3.0 Instruct need?
About 7 GB at Q4_K_M — quantized weights plus framework overhead, before any KV cache. The cache grows with context length and is added on top; the table above folds it in. Apple Silicon counts unified memory toward the same figure.
Does Bielik PL 11B v3.0 Instruct run on an RTX 4090 (24 GB)?
Yes. Bielik PL 11B v3.0 Instruct needs about 7 GB at Q4_K_M, inside a 24 GB card, at an estimated 84 tokens/sec.
How do I run Bielik PL 11B v3.0 Instruct locally?
Install Ollama and run `ollama run bielik`. That pulls the weights and starts a local OpenAI-compatible endpoint; after the download nothing leaves the machine.

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