⌘K
← All AI Models

Can you run MiMo V2.6 Flash RL locally?

MiMo family · Sep 2026 · 310.8B parameters (15B activated per token) · Hugging Face model card

MiMo V2.6 Flash RL is a mixture-of-experts model activating 8 of 256 experts per token released with open weights on Hugging Face: 310.76B total parameters (15.0B activated per token), a 1,048,576-token context window, mit license. Running it locally needs roughly 192 GB of memory at Q4-class quantization (calculated) — multi-GPU server or large-unified-memory territory. Measured local speeds: not yet published here; we list unknowns as unknowns.

Minimum: 192 GB+ memory (Q4-class, calculated)  ·  Recommended: 256 GB+ for comfortable context headroom (Q4-class, calculated)

Parameters (total)
310.8B
Activated per token
15B (MoE)
Context window
1,048,576 tokens
Architecture source
HF config.json (verified)

How much VRAM does MiMo V2.6 Flash RL need at each quantization?

MiMo V2.6 Flash RL needs 205.1 GB of VRAM at Q4_K_M. The table below lists weights-only size and total VRAM including overhead for each common quantization level with 4k and 32k token contexts.

QuantizationBits / weightWeights onlyTotal + KV @4k ctxTotal + KV @32k ctx
Q4_K_M 4.8 186.5 GB 205.1 GB 205.1 GB
Q5_K_M 5.7 221.4 GB 243.6 GB 243.6 GB
Q6_K 6.6 256.4 GB 282.0 GB 282.0 GB
Q8_0 8.5 330.2 GB 363.2 GB 363.2 GB
FP16 16 621.5 GB 683.7 GB 683.7 GB

Method: weights = parameters × bits-per-weight (Q4_K_M ≈ 4.8, Q5_K_M ≈ 5.7, Q6_K ≈ 6.6, Q8_0 ≈ 8.5, FP16 = 16), plus 10% loading overhead, plus KV cache from the verified architecture config (not applicable to this architecture). Source: HF-verified 2026-10-13 via api (repo safetensors + config.json); active params from vendor README; VRAM figures are documented calculations, not measurements

Which GPUs can run MiMo V2.6 Flash RL locally?

At Q4_K_M with a 4k context, MiMo V2.6 Flash RL needs 205.1 GB of VRAM. The lists below are computed live from our GPU database and grouped by how much headroom the card has. Disclosure: CompareAIHardware.com participates in the Amazon Associates program and earns from qualifying purchases through links on this page. Affiliate relationships do not influence our recommendations.

Runs MiMo V2.6 Flash RL comfortably (25%+ VRAM headroom)

GPUVRAMBandwidthType
AMD Instinct MI355X 288 GB 8000 GB/s Data Center GPU
NVIDIA B300 (Blackwell Ultra) 288 GB 8000 GB/s Data Center GPU

Minimum GPUs that fit MiMo V2.6 Flash RL at Q4_K_M

These GPUs hold the model but leave little headroom — keep contexts short.

GPUVRAMBandwidthType
AMD Instinct MI325X 256 GB 6000 GB/s Data Center GPU

Needs 2+ GPUs to run MiMo V2.6 Flash RL

One of these cards is too small on its own, but a pair (tensor or pipeline parallel, ~90% efficiency) covers the 205.1 GB requirement. See our multi-GPU guide for setup.

GPUVRAMBandwidthType
H200 SXM 141 GB ×2 4800 GB/s Data Center GPU
AMD Instinct MI300X 192 GB ×2 5300 GB/s Data Center GPU
NVIDIA B200 192 GB ×2 8000 GB/s Data Center GPU

Can a Mac run MiMo V2.6 Flash RL?

Yes — these Apple Silicon machines fit MiMo V2.6 Flash RL at Q4_K_M, since macOS lets the GPU use about 75% of unified memory. Generation speed is bound by memory bandwidth, so the GB/s column matters as much as capacity.

Apple SiliconUnified memoryUsable by GPU (~75%)Bandwidth
M5 Ultra (Mac Studio) 512 GB 384 GB 1200 GB/s

Frequently asked questions