Aya Expanse 32B — VRAM Requirements
Written by Jakub Rusinowski · Last updated October 8, 2024
How much GPU VRAM you need to run Aya Expanse Aya Expanse 32B by Cohere locally, a 32.3B-parameter model. Figures are quantized weights + KV cache + framework overhead, computed from the model's parameter count and published architecture — not a throughput model. See /en/methodology.
Aya Expanse 32B needs about 22 GB VRAM at Q4_K_M.
VRAM by Quantization
| Quant | Bits/weight | Weights | Total VRAM |
|---|---|---|---|
| Q2_K | 2.63 | 10.6 GB | 12.8 GB |
| Q3_K_M | 3.41 | 13.8 GB | 15.9 GB |
| Q4_K_M | 4.83 | 19.5 GB | 21.6 GB |
| Q5_K_M | 5.67 | 22.9 GB | 25.0 GB |
| Q6_K | 6.56 | 26.5 GB | 28.6 GB |
| Q8_0 | 8.50 | 34.3 GB | 36.5 GB |
| F16 | 16.00 | 64.6 GB | 66.7 GB |
Switch quantization in the interactive calculator, or see the full Aya Expanse model page.
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Model creators: paste this into your Hugging Face model card README to link readers straight to this VRAM breakdown.
[](https://llmconfigurator.com/en/vram-calculator/aya-expanse-32b?utm_source=badge&utm_medium=referral&utm_campaign=readme_badge&utm_content=aya-expanse-32b)Estimates only — actual VRAM varies with context length, batch size, runtime and KV-cache settings.