Qwen 3.8 Flash-Next is a 180B-parameter mixture-of-experts model (6B active per token). At Q2_K it needs about 81.7 GB of memory. The H100 80GB (cloud) has 74 GB usable, so it doesn't fit, even at its smallest quantization.
| Quantization | File size | Memory | Generation | First token | Source |
|---|---|---|---|---|---|
| Q2_K | 80.9 GB | Doesn't fit | Won't run | — | — |
| GSQ-RCO-IQ3_S | 83.6 GB | Doesn't fit | Won't run | — | — |
| Q3_K_M | 92.0 GB | Doesn't fit | Won't run | — | — |
| IQ4_XS | 97.7 GB | Doesn't fit | Won't run | — | — |
| UD-Q4_K_XL | 111.3 GB | Doesn't fit | Won't run | — | — |
| Q4_K_M | 119.6 GB | Doesn't fit | Won't run | — | — |
| Q8_0 | 188.3 GB | Doesn't fit | Won't run | — | — |
| FP16 | 354.0 GB | Doesn't fit | Won't run | — | — |
All models on the H100 80GB (cloud) · Qwen 3.8 Flash-Next on all hardware
Estimates for a short prompt on a single device. Measured numbers come from community benchmarks (r/LocalLLaMA, localscore.ai and more); others are derived from similar setups or projected from specs. Open source on GitHub.