Qwen3.8 27B — VRAM Requirements
Written by Jakub Rusinowski · Last updated September 6, 2026
How much GPU VRAM you need to run Qwen3.8 Qwen3.8 27B by Alibaba Cloud locally, a 27.78B-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.
Qwen3.8 27B needs about 18 GB VRAM at Q4_K_M.
VRAM by Quantization
| Quant | Bits/weight | Weights | Total VRAM |
|---|---|---|---|
| Q2_K | 2.63 | 9.1 GB | 9.9 GB |
| Q3_K_M | 3.41 | 11.8 GB | 12.6 GB |
| Q4_K_M | 4.83 | 16.8 GB | 17.6 GB |
| Q5_K_M | 5.67 | 19.7 GB | 20.5 GB |
| Q6_K | 6.56 | 22.8 GB | 23.6 GB |
| Q8_0 | 8.50 | 29.5 GB | 30.3 GB |
| F16 | 16.00 | 55.6 GB | 56.4 GB |
Switch quantization in the interactive calculator, or see the full Qwen3.8 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/qwen3-8-27b?utm_source=badge&utm_medium=referral&utm_campaign=readme_badge&utm_content=qwen3-8-27b)Estimates only — actual VRAM varies with context length, batch size, runtime and KV-cache settings.