Can I run Qwen3.8 Flash Next (MoE) locally?
Qwen3.8 Flash Next (MoE) has 180.00 billion parameters (Hugging Face). At the popular Q4_K_M quantization it needs roughly 115.3 GB of GPU memory ESTIMATE. It has been on Hugging Face since 2026-08-24. It's a mixture-of-experts model: all weights must fit in memory, but it generates faster than a dense model of the same size.
Memory needed by quantization
| Quant | Weights | Total needed (est.) |
|---|---|---|
| IQ1_S | 35.1 GB | 37.6 GB |
| IQ2_XXS | 46.3 GB | 49.4 GB |
| IQ2_M | 60.7 GB | 64.5 GB |
| Q2_K | 71.3 GB | 75.6 GB |
| IQ3_XXS | 68.8 GB | 73.0 GB |
| Q3_K_S | 82.1 GB | 86.9 GB |
| IQ3_M | 82.3 GB | 87.2 GB |
| Q3_K_M | 90.0 GB | 95.2 GB |
| IQ4_XS | 95.6 GB | 101.1 GB |
| Q4_0 | 101.2 GB | 107.0 GB |
| Q4_K_M | 109.1 GB | 115.3 GB |
| MXFP4 | 104.2 GB | 110.1 GB |
| Q5_K_M | 128.0 GB | 135.1 GB |
| Q6_K | 147.6 GB | 155.7 GB |
| Q8_0 | 191.2 GB | 201.5 GB |
| F16 | 360.0 GB | 378.7 GB |
KV cache by context length ESTIMATE
| Context | f16 | q8_0 | q4_0 |
|---|---|---|---|
| 4k | 0.10 GB | 0.05 GB | 0.03 GB |
| 8k | 0.20 GB | 0.11 GB | 0.06 GB |
| 16k | 0.40 GB | 0.21 GB | 0.11 GB |
| 32k | 0.81 GB | 0.43 GB | 0.23 GB |
| 64k | 1.61 GB | 0.86 GB | 0.45 GB |
| 128k | 3.22 GB | 1.71 GB | 0.91 GB |
From config.json: 12 KV-caching attention layers, 2 KV heads × 256 head dim. Max context 256k. The tables above assume 4k context.
Which GPUs and Macs can run it?
✅ fits · ⚠️ fits with little headroom · ❌ doesn't fit on this one device (multiple GPUs or RAM offload may work; check your setup). Apple Silicon assumes macOS lets the GPU use ~67–75% of unified memory. All fit verdicts are estimates.
Get the weekly "new models & what it takes to run them" email
Free. One email a week. Unsubscribe anytime.