Qwen3.8-Flash-Next — VRAM Requirements
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 11 września 2026
How much GPU VRAM you need to run Qwen3.8 Qwen3.8-Flash-Next by Alibaba Cloud locally, a 180B-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 /pl/methodology.
Qwen3.8-Flash-Next needs about 109 GB VRAM at Q4_K_M.
VRAM by Quantization
| Quant | Bits/weight | Weights | Total VRAM |
|---|---|---|---|
| Q2_K | 2.63 | 59.2 GB | 60.0 GB |
| Q3_K_M | 3.41 | 76.7 GB | 77.5 GB |
| Q4_K_M | 4.83 | 108.7 GB | 109.5 GB |
| Q5_K_M | 5.67 | 127.6 GB | 128.4 GB |
| Q6_K | 6.56 | 147.6 GB | 148.4 GB |
| Q8_0 | 8.50 | 191.3 GB | 192.1 GB |
| F16 | 16.00 | 360.0 GB | 360.8 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-flash-next?utm_source=badge&utm_medium=referral&utm_campaign=readme_badge&utm_content=qwen3-8-flash-next)Estimates only — actual VRAM varies with context length, batch size, runtime and KV-cache settings.