MiMo V2.6 Pro RL — Hardware Requirements & GPU Compatibility
ChatFunctions
MiMo V2.6 Pro RL is Xiaomi's largest open-weight language model, a sparse mixture-of-experts design with roughly 1.02 trillion total parameters and about 42 billion active per token. It is tuned for chat and function-calling, with heavy reinforcement-learning post-training behind its name. Only the active parameters compute per token, keeping decoding efficient, but the full weight set must fit in memory, putting it in server-class territory best reached through a hosted endpoint. The model supports a 1,048,576 token context window, suited to very long documents or agent sessions. It is released under the MIT license, one of the most permissive open licenses, with no restrictions on commercial use. Published in September 2026, its post-training relied on large-scale, fully asynchronous reinforcement learning (GRPO).
4.1K downloads
450 likesSpecifications
- Publisher
- Xiaomi
- Family
- MiMo
- Parameters
- 1020B
- Architecture
- MiMoV2ForCausalLM
- Context Length
- 1,048,576 tokens
- Vocabulary Size
- 152,576
- Release Date
- 2026-09-21
- License
- MIT
Get Started
HuggingFace
How Much VRAM Does MiMo V2.6 Pro RL Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_Kest. | 3.40 | 434.0 GB | 546.5 GB | 433.50 GB | 2-bit quantization with K-quant improvements |
| Q3_K_Mest. | 3.90 | 497.8 GB | 610.3 GB | 497.25 GB | 3-bit medium quantization |
| Q4_K_Mest. | 4.80 | 612.5 GB | 725.0 GB | 612.00 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_Mest. | 5.70 | 727.3 GB | 839.8 GB | 726.75 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_Kest. | 6.60 | 842.0 GB | 954.5 GB | 841.50 GB | 6-bit quantization, very good quality |
| Q8_0est. | 8.00 | 1020.5 GB | 1133.0 GB | 1020.00 GB | 8-bit quantization, near-lossless |
| BF16est. | 16.00 | 2040.5 GB | 2153.0 GB | 2040.00 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 Pro RL?
Q4_K_M · 612.5 GBMiMo V2.6 Pro RL (Q4_K_M) requires 612.5 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 797+ GB is recommended. Using the full 1049K context window can add up to 112.5 GB, bringing total usage to 725.0 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run MiMo V2.6 Pro RL?
Q4_K_M · 612.5 GB2 devices with unified memory can run MiMo V2.6 Pro RL, including NVIDIA DGX H100.
Decent
— Enough memory, may be tightRelated Models
Frequently Asked Questions
- How much VRAM does MiMo V2.6 Pro RL need?
MiMo V2.6 Pro RL requires 612.5 GB of VRAM at Q4_K_M, or 2040.5 GB at BF16. Full 1049K context adds up to 112.5 GB (725.0 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 1020B × 4.8 bits ÷ 8 = 612 GB
KV Cache + Overhead ≈ 0.5 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 113 GB (at full 1049K context)
VRAM usage by quantization
Q4_K_M612.5 GBQ4_K_M + full context725.0 GB- Can NVIDIA GeForce RTX 5090 run MiMo V2.6 Pro RL?
No — MiMo V2.6 Pro RL requires at least 434.0 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 Pro RL?
For MiMo V2.6 Pro RL, Q4_K_M (612.5 GB) offers the best balance of quality and VRAM usage. Q5_K_M (727.3 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 434.0 GB.
VRAM requirement by quantization
Q2_K434.0 GBQ4_K_M ★612.5 GBQ5_K_M727.3 GBQ6_K842.0 GBQ8_01020.5 GBBF162040.5 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run MiMo V2.6 Pro RL on a Mac?
MiMo V2.6 Pro RL requires at least 434.0 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 Pro RL locally?
Yes — MiMo V2.6 Pro RL can run locally on consumer hardware. At Q4_K_M quantization it needs 612.5 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- What's the download size of MiMo V2.6 Pro RL?
At Q4_K_M, the download is about 612.00 GB. The full-precision BF16 version is 2040.00 GB. The smallest option (Q2_K) is 433.50 GB.
- Which GPUs can run MiMo V2.6 Pro RL?
No single consumer GPU has enough VRAM to run MiMo V2.6 Pro RL at Q4_K_M (612.5 GB). Multi-GPU or professional hardware is required.
- Which devices can run MiMo V2.6 Pro RL?
2 devices with unified memory can run MiMo V2.6 Pro RL at Q4_K_M (612.5 GB), including NVIDIA DGX A100 640GB, NVIDIA DGX H100. Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.