MiMo V2.6 Flash MOPD — Hardware Requirements & GPU Compatibility
ChatFunctions
MiMo-V2.6-Flash-MOPD is Xiaomi's sparse mixture-of-experts model with 309 billion total and 15 billion active parameters, in the MiMo-V2.6 family aimed at agentic and long-context work. The card describes it as a multimodal model, with vision and audio encoders, and as an upgrade of the MiMo-V2.6-Flash-RL checkpoint through MOPD2, which distills several domain-specialized teachers into one model. The card says this mitigates tool-call repetition in agent settings. Even quantized, it needs multi-GPU or a large unified-memory machine. The context window is 1,048,576 tokens, listed in the card as 1M. It is released under the MIT license, permitting unrestricted commercial and research use. Published in September 2026, it is the smaller sibling of MiMo-V2.6-Pro-MOPD, which shares the same upgrade recipe at a larger scale.
4.8K downloads
48 likesSpecifications
- Publisher
- Xiaomi
- Family
- MiMo
- Parameters
- 309B
- Architecture
- MiMoV2ForCausalLM
- Context Length
- 1,048,576 tokens
- Vocabulary Size
- 152,576
- Release Date
- 2026-09-27
- License
- MIT
Get Started
HuggingFace
How Much VRAM Does MiMo V2.6 Flash MOPD Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_K | 3.40 | 131.7 GB | 183.2 GB | 131.32 GB | 2-bit quantization with K-quant improvements |
| Q3_K_Mest. | 3.90 | 151.0 GB | 202.5 GB | 150.64 GB | 3-bit medium quantization |
| Q4_0 | 4.00 | 154.9 GB | 206.3 GB | 154.50 GB | 4-bit legacy quantization |
| Q4_K_Mest. | 4.80 | 185.8 GB | 237.2 GB | 185.40 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_Mest. | 5.70 | 220.6 GB | 272 GB | 220.16 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_Kest. | 6.60 | 255.3 GB | 306.8 GB | 254.93 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 309.4 GB | 360.8 GB | 309.00 GB | 8-bit quantization, near-lossless |
| BF16 | 16.00 | 618.4 GB | 669.8 GB | 618.00 GB | Brain floating point 16 — preferred for training |
est.= calculated VRAM estimate; no published GGUF file found for that quantization yet. Other rows are verified against real community uploads.
Which GPUs Can Run MiMo V2.6 Flash MOPD?
Q4_K_M · 185.8 GBMiMo V2.6 Flash MOPD (Q4_K_M) requires 185.8 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 242+ GB is recommended. Using the full 1049K context window can add up to 51.4 GB, bringing total usage to 237.2 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run MiMo V2.6 Flash MOPD?
Q4_K_M · 185.8 GB6 devices with unified memory can run MiMo V2.6 Flash MOPD, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Studio (M3 Ultra, 256GB).
Runs great
— Plenty of headroom
Decent
— Enough memory, may be tightWhere to Download MiMo V2.6 Flash MOPD
Community quantizations of this model — GGUF for llama.cpp, Ollama, and LM Studio, plus AWQ/MLX variants where available.
Related Models
Frequently Asked Questions
- How much VRAM does MiMo V2.6 Flash MOPD need?
MiMo V2.6 Flash MOPD requires 185.8 GB of VRAM at Q4_K_M, or 618.4 GB at BF16. Full 1049K context adds up to 51.4 GB (237.2 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 309B × 4.8 bits ÷ 8 = 185.4 GB
KV Cache + Overhead ≈ 0.4 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 51.8 GB (at full 1049K context)
VRAM usage by quantization
Q4_K_M185.8 GBQ4_K_M + full context237.2 GB- Can NVIDIA GeForce RTX 5090 run MiMo V2.6 Flash MOPD?
No — MiMo V2.6 Flash MOPD requires at least 131.7 GB at Q2_K, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- What's the best quantization for MiMo V2.6 Flash MOPD?
For MiMo V2.6 Flash MOPD, Q4_K_M (185.8 GB) offers the best balance of quality and VRAM usage. Q5_K_M (220.6 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 131.7 GB.
VRAM requirement by quantization
Q2_K131.7 GBQ4_0154.9 GBQ4_K_M ★185.8 GBQ5_K_M220.6 GBQ6_K255.3 GBBF16618.4 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run MiMo V2.6 Flash MOPD on a Mac?
MiMo V2.6 Flash MOPD requires at least 131.7 GB at Q2_K, which exceeds the unified memory of most consumer Macs. You would need a Mac Studio or Mac Pro with a high-memory configuration.
- Can I run MiMo V2.6 Flash MOPD locally?
Yes — MiMo V2.6 Flash MOPD can run locally on consumer hardware. At Q4_K_M quantization it needs 185.8 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is MiMo V2.6 Flash MOPD?
At Q4_K_M, MiMo V2.6 Flash MOPD can reach ~87 tok/s on AMD Instinct MI350X. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: NVIDIA B200 → 8000 ÷ 185.8 × 0.65 = ~229 tok/s
Estimated speed at Q4_K_M (185.8 GB)
~229 tok/s~229 tok/s~87 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of MiMo V2.6 Flash MOPD?
At Q4_K_M, the download is about 185.40 GB. The full-precision BF16 version is 618.00 GB. The smallest option (Q2_K) is 131.32 GB.
- Which GPUs can run MiMo V2.6 Flash MOPD?
No single consumer GPU has enough VRAM to run MiMo V2.6 Flash MOPD at Q4_K_M (185.8 GB). Multi-GPU or professional hardware is required.
- Which devices can run MiMo V2.6 Flash MOPD?
6 devices with unified memory can run MiMo V2.6 Flash MOPD at Q4_K_M (185.8 GB), including Mac Pro M2 Ultra (192 GB), Mac Studio (M3 Ultra, 256GB), Mac Studio (M3 Ultra, 512GB), Mac Studio M2 Ultra (192 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.