MiMo-V2.6-Flash VRAM requirements: about 217 GB at Q4 and 1M context
MiMo-V2.6-Flash needs about 217 GB at Q4_K_M with 1,048,576 tokens and FP16 cache. At 32K context, the same model needs about 191 GB.
MiMo-V2.6-Flash stores about 309B parameters and activates about 15B per token. The smaller active count reduces computation, while the full weight pool still drives an all-resident deployment. This page estimates 173.04 GB for Q4 weights, 24.18 GB for the full-context text cache, and 19.72 GB of runtime allowance. The resulting 216.95 GB is a planning estimate for one sequence, with the backbone's mixed attention layout included.
By TechCompare · Updated
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Estimated VRAM required
217 GB
309B params at Q4_K_M, 1,048,576 token context, batch 1, inference.
Estimate accuracy: Planning estimate. Rounded model counts, tensor formats, cache packing, and workspace can change actual allocation. Confirm the exact checkpoint and serving engine with a load test.
MiMo-V2.6-Flash has 9 global layers with 4 KV heads and 39 sliding layers with 8 KV heads. Keys are 192 wide and values are 128 wide. Vision/audio processing and the optional speculative decoder need extra runtime memory beyond this text-cache budget.
Hardware that fits
Apple entries show installed unified memory separately from a model budget based on an 8 GB reserve. That budget is a planning heuristic, not a fixed hardware limit.
Just barely too small
How this is calculated
The published Flash configuration has 48 layers and hidden size 4,096. Nine layers use global attention with four KV heads. The other 39 use a 128-token sliding window with eight KV heads. Both use 192-wide keys and 128-wide values. Using one head count for the entire model would size one of those groups incorrectly, so the preset tracks their widths separately. The global cache grows with context, while local buffers stop at the window size. At 32,768 tokens their combined FP16 cache is about 0.78 GB, producing a 191.20 GB total. At 1,048,576 tokens the total reaches 216.95 GB, or about 202.05 GiB. Q4_K_M uses an approximate 0.56-byte weight factor. That scenario doesn't reproduce the exact precision mix of Xiaomi's release, and the general runtime allowance doesn't separately model image/audio activations or the optional five-layer speculative decoder.
Verdict
MiMo Flash is much easier to place in memory than Pro, but its all-resident weights still exceed ordinary single-GPU capacity. Three nominal 80 GB GPUs offer 240 GB in aggregate, which exceeds this estimate on paper. That comparison doesn't guarantee a valid three-way tensor split, enough memory on each shard, or a compatible serving kernel. Select the runtime and checkpoint first, inspect its parallelism constraints, and measure the workload before treating the aggregate memory figure as a deployment plan.
More MiMo scenarios
Related guides
Frequently asked questions
Is MiMo Flash a 15B model for VRAM purposes?
Why does this preset show four KV heads?
Can I save memory by lowering context?
Does the article cover multimodal and speculative serving?
Should I use the RL or MOPD checkpoint for this estimate?
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