Can I run MiMo V2.6 Flash RL (MoE) locally?
MiMo V2.6 Flash RL (MoE) has 310.76 billion parameters (Hugging Face). At the popular Q4_K_M quantization it needs roughly 199.0 GB of GPU memory ESTIMATE. It has been on Hugging Face since 2026-09-21. 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 | 60.6 GB | 64.8 GB |
| IQ2_XXS | 80.0 GB | 85.2 GB |
| IQ2_M | 104.9 GB | 111.3 GB |
| Q2_K | 123.1 GB | 130.5 GB |
| IQ3_XXS | 118.9 GB | 126.0 GB |
| Q3_K_S | 141.8 GB | 150.1 GB |
| IQ3_M | 142.2 GB | 150.5 GB |
| Q3_K_M | 155.4 GB | 164.4 GB |
| IQ4_XS | 165.1 GB | 174.5 GB |
| Q4_0 | 174.8 GB | 184.7 GB |
| Q4_K_M | 188.4 GB | 199.0 GB |
| MXFP4 | 179.9 GB | 190.0 GB |
| Q5_K_M | 221.0 GB | 233.3 GB |
| Q6_K | 254.8 GB | 268.8 GB |
| Q8_0 | 330.2 GB | 347.9 GB |
| F16 | 621.5 GB | 653.8 GB |
KV cache by context length ESTIMATE
| Context | f16 | q8_0 | q4_0 |
|---|---|---|---|
| 4k | 0.60 GB | 0.32 GB | 0.17 GB |
| 8k | 1.21 GB | 0.64 GB | 0.34 GB |
| 16k | 2.42 GB | 1.28 GB | 0.68 GB |
| 32k | 4.83 GB | 2.57 GB | 1.36 GB |
| 64k | 9.66 GB | 5.13 GB | 2.72 GB |
| 128k | 19.33 GB | 10.27 GB | 5.44 GB |
From config.json: 48 KV-caching attention layers, 4 KV heads × 192 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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