MiMo V2.6 Flash RL — Hardware Requirements & GPU Compatibility
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MiMo V2.6 Flash RL is a 309-billion-parameter Mixture-of-Experts language model from Xiaomi's MiMo team, with about 15 billion parameters active per token, keeping generation efficient relative to its total size even though the full weight set must still fit in memory. It is built for chat and agentic use with native function-calling support, and this "Flash" checkpoint is the efficiency-oriented sibling to Xiaomi's larger MiMo-V2.6-Pro. At this scale, local inference needs server-class hardware, so most users rely on a hosted endpoint. It supports a 1,048,576 token (1M) context window. It is released under the MIT license, allowing unrestricted commercial and research use. Published on September 21, 2026, its post-training relied on large-scale, fully asynchronous reinforcement learning (GRPO).
13.2K downloads
426 likesSpecifications
- Publisher
- Xiaomi
- Family
- MiMo
- Parameters
- 309B
- Architecture
- MiMoV2ForCausalLM
- Context Length
- 1,048,576 tokens
- Vocabulary Size
- 152,576
- Release Date
- 2026-09-21
- License
- MIT
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HuggingFace
How Much VRAM Does MiMo V2.6 Flash RL Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| IQ2_XS | 2.40 | 93.1 GB | 144.5 GB | 92.70 GB | Importance-weighted 2-bit, extra small |
| IQ2_M | 2.70 | 104.7 GB | 156.1 GB | 104.29 GB | Importance-weighted 2-bit, medium |
| 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_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 RL?
Q4_K_M · 185.8 GBMiMo V2.6 Flash RL (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 RL?
Q4_K_M · 185.8 GB6 devices with unified memory can run MiMo V2.6 Flash RL, 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 RL
Community quantizations of this model — GGUF for llama.cpp, Ollama, and LM Studio, plus AWQ/MLX variants where available.
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Frequently Asked Questions
- How much VRAM does MiMo V2.6 Flash RL need?
MiMo V2.6 Flash RL 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 RL?
No — MiMo V2.6 Flash RL requires at least 93.1 GB at IQ2_XS, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- What's the best quantization for MiMo V2.6 Flash RL?
For MiMo V2.6 Flash RL, 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 IQ2_XS at 93.1 GB.
VRAM requirement by quantization
IQ2_XS93.1 GBQ2_K131.7 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 RL on a Mac?
MiMo V2.6 Flash RL requires at least 93.1 GB at IQ2_XS, 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 RL locally?
Yes — MiMo V2.6 Flash RL 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 RL?
At Q4_K_M, MiMo V2.6 Flash RL 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 RL?
At Q4_K_M, the download is about 185.40 GB. The full-precision BF16 version is 618.00 GB. The smallest option (IQ2_XS) is 92.70 GB.
- Which GPUs can run MiMo V2.6 Flash RL?
No single consumer GPU has enough VRAM to run MiMo V2.6 Flash RL at Q4_K_M (185.8 GB). Multi-GPU or professional hardware is required.
- Which devices can run MiMo V2.6 Flash RL?
6 devices with unified memory can run MiMo V2.6 Flash RL 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.