Can I run DeepSeek V4 Flash (MoE) locally?
DeepSeek V4 Flash (MoE) has 290.94 billion parameters (Hugging Face). At the popular Q4_K_M quantization it needs roughly 186.2 GB of GPU memory ESTIMATE. It has been on Hugging Face since 2026-04-22. 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 | 56.7 GB | 60.5 GB |
| IQ2_XXS | 74.9 GB | 79.6 GB |
| IQ2_M | 98.2 GB | 104.1 GB |
| Q2_K | 115.3 GB | 122.0 GB |
| IQ3_XXS | 111.3 GB | 117.8 GB |
| Q3_K_S | 132.7 GB | 140.3 GB |
| IQ3_M | 133.1 GB | 140.7 GB |
| Q3_K_M | 145.5 GB | 153.7 GB |
| IQ4_XS | 154.6 GB | 163.3 GB |
| Q4_0 | 163.7 GB | 172.8 GB |
| Q4_K_M | 176.4 GB | 186.2 GB |
| MXFP4 | 168.4 GB | 177.8 GB |
| Q5_K_M | 206.9 GB | 218.2 GB |
| Q6_K | 238.6 GB | 251.5 GB |
| Q8_0 | 309.1 GB | 325.5 GB |
| F16 | 581.9 GB | 611.9 GB |
KV cache by context length ESTIMATE
| Context | f16 | q8_0 | q4_0 |
|---|---|---|---|
| 4k | 0.36 GB | 0.19 GB | 0.10 GB |
| 8k | 0.72 GB | 0.38 GB | 0.20 GB |
| 16k | 1.44 GB | 0.77 GB | 0.41 GB |
| 32k | 2.89 GB | 1.53 GB | 0.81 GB |
| 64k | 5.77 GB | 3.07 GB | 1.62 GB |
| 128k | 11.54 GB | 6.13 GB | 3.25 GB |
From config.json: 43 KV-caching attention layers, 1 KV heads × 512 head dim. Max context 1024k. 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.
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