Written by Jakub Rusinowski · Last updated September 19, 2026
Model library → EuroLLM → EuroLLM 22B
The flagship EuroLLM, reported to match or beat global models of similar size on multilingual tasks. Fits a 16 GB card at Q4.
EuroLLM 22B needs about 14 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.
| Parameters | 22 Billion |
| Context window | 4,096 |
| Architecture | Dense |
| Provider | Unbabel / Instituto Superior Técnico / INESC-ID |
| Licence | Apache 2.0 |
| Specified at | Q4_K_M |
| System RAM | 32 GB |
| Record updated | 2026-09-19 |
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: context.
Apache-2.0 — commercial use permitted. Commercial use permitted. No usage restrictions beyond attribution.
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.
| Quant | Bits/weight | Weights | VRAM needed | Est. speed | Fit on 24 GB |
|---|---|---|---|---|---|
| Q2_K | 2.63 | 7.2 GB | 8 GB | ~78 tok/s (est.) | Fits comfortably |
| Q3_K_M | 3.41 | 9.4 GB | 10.2 GB | ~64 tok/s (est.) | Fits comfortably |
| Q4_K_M | 4.83 | 13.3 GB | 14.1 GB | ~48 tok/s (est.) | Fits comfortably |
| Q5_K_M | 5.67 | 15.6 GB | 16.4 GB | ~42 tok/s (est.) | Fits comfortably |
| Q6_K | 6.56 | 18 GB | 18.8 GB | ~37 tok/s (est.) | Fits comfortably |
| Q8_0 | 8.50 | 23.4 GB | 24.2 GB | ~4 tok/s (est.) | Offloads to system RAM (slow) |
| F16 | 16.00 | 44 GB | 44.8 GB | ~2 tok/s (est.) | Offloads to system RAM (slow) |
Want to set your own context length and KV-cache quantization? Use the interactive VRAM calculator.
or compare on Vast.ai from $0.35/hr (typical low · varies)
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The cheapest catalogued GPU that runs EuroLLM 22B is the AMD Radeon RX 9060 XT 16GB (16 GB).
Install Ollama, then run:
ollama run eurollmWeights on Hugging Face: utter-project/EuroLLM-22B-Instruct-2512.
Best for: european languages, translation, multilingual, chat.
← All EuroLLM models | VRAM calculator | Check your own hardware