Can I Run Qwen3 Next 80B A3B Thinking on a NVIDIA L40?
Runs at Q4_K_S — good quality with reasonable headroom.
5 quantizations fit your 48.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q4_K_SBEST | 47.5 GB | 49.0 GB | 45.5 GB | +0.5 GB |
| Q4_0 | 46.7 GB | 48.2 GB | 45.3 GB | +1.3 GB |
| Q3_K_M | 35.0 GB | 36.5 GB | 38.3 GB | +13.0 GB |
| Q3_K_S | 32.3 GB | 33.8 GB | 34.6 GB | +15.7 GB |
| Q2_K | 27.7 GB | 29.2 GB | 29.2 GB | +20.3 GB |
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FAQ
Can the NVIDIA L40 run Qwen3 Next 80B A3B Thinking?
Yes. The NVIDIA L40's 48.0GB of VRAM is enough to run Qwen3 Next 80B A3B Thinking at Q4_K_S quantization (47.5GB required).
What's the best quantization to use?
Q4_K_S is the highest-precision quantization that fits in your 48.0GB. It uses about 47.5GB of memory and 49.0GB recommended for comfortable inference.
What if I need more headroom for context length?
KV cache memory grows with context length. The numbers above assume a baseline 2K-4K context. For long-context use (32K+), add another 2-6GB depending on the model architecture.