Bielik PL 11B v3.0 Instruct — VRAM, speed & local setup
Written by Jakub Rusinowski · Last updated
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.
VRAM and speed by quantization
Quoted against NVIDIA RTX 4090 (24 GB). Weights plus overhead only: this model's architecture is unpublished, so no KV cache is added.
| Quant | Memory | VRAM | Speed (est.) | Fit |
|---|---|---|---|---|
| Q2_K 2.63 bpw | 4.4 GB | ~127 tok/s | Fits | |
| Q3_K_M 3.41 bpw | 5.5 GB | ~108 tok/s | Fits | |
| Q4_K_M 4.83 bpw | 7.4 GB | ~84 tok/s | Fits | |
| Q5_K_M 5.67 bpw | 8.6 GB | ~75 tok/s | Fits | |
| Q6_K 6.56 bpw | 9.8 GB | ~67 tok/s | Fits | |
| Q8_0 8.50 bpw | 12.5 GB | ~54 tok/s | Fits | |
| F16 16.00 bpw | 22.8 GB | ~31 tok/s | Tight |
Black marker = usable memory on the NVIDIA RTX 4090 (24 GB). Estimates from the memory-bandwidth roofline on the methodology page. Bielik PL 11B v3.0 Instruct VRAM calculator →
Get Bielik PL 11B v3.0 Instruct running
The cheapest catalogued GPU that runs Bielik PL 11B v3.0 Instruct is the Intel Arc B570 (10 GB).
or compare on Vast.ai from $0.35/hr (typical low · varies)
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How to run Bielik PL 11B v3.0 Instruct
Install Ollama, then run:
ollama run bielikSpecifications
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.
- Parameters
- 11 Billion
- Context window
- 32,768
- Architecture
- Dense
- Provider
- SpeakLeash / ACK Cyfronet AGH
- Licence
- Apache 2.0
- Practical deployment
- Laptop
- Specified at
- Q4_K_M
- System RAM
- 16 GB
- Record updated
- 2026-09-19
Commercial use permitted. No usage restrictions beyond attribution.
Quality and use cases
Scores as published by the model’s authors or an independent evaluator — quality, not throughput, and not measured by us.
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.