# MiniMax-M1-80k: RAM and VRAM requirements

> MiniMax-M1-80k is a 456B MiniMax model (Mixture-of-Experts, 45.9B active per token). At Q4_K_M it needs about **284.6 GB** to run and fits **0 of 40** tracked devices. Minimum to run: high-memory hardware.

Last validated: 2026-08-03. Sources: Ollama, HuggingFace GGUF repos, vendor specs.

## Memory by quantization
| Quant | On disk | To run (4k context) |
| --- | --- | --- |
| Q4_K_M | 278.7 GB | ~284.6 GB |

Memory = weights + KV cache + ~0.8 GB runtime overhead, and varies ±15% with context length.

## Will it run on my device?
- **Apple M1 (8GB)** (8 GB): No, not enough memory
- **iPhone 17** (8 GB): No, not enough memory
- **iPhone 17 Pro** (12 GB): No, not enough memory
- **16GB RAM Laptop (CPU/iGPU only)** (16 GB): No, not enough memory
- **Google Pixel 10 Pro** (16 GB): No, not enough memory
- **Nvidia GeForce RTX 3090 (24GB)** (24 GB): No, not enough memory
- **Apple M4 Pro (48GB)** (48 GB): No, not enough memory
- **Apple M3 Ultra (256GB)** (256 GB): No, not enough memory

Full table of all 40 devices: https://localmodel.run/model/minimax-m1-80k

## How to run
Use LM Studio (Mac/Windows) or Ollama / vLLM (Linux).

## Details
- Parameters: 456B (MoE, 45.9B active per token)
- Default context: 1000k tokens
- License: Apache-2.0 (commercial use: yes)
- Released: 2025-06
- HuggingFace: 628 downloads/mo, 692 likes

## FAQ
### How much VRAM or RAM does MiniMax-M1-80k need?
About 284.6 GB at Q4_K_M (weights 278.7 GB + KV cache + overhead) at a 4k context.
### Can MiniMax-M1-80k run on a laptop?
MiniMax-M1-80k is large; you need a high-memory Mac or a 24 GB+ GPU at Q4_K_M.
### Can I use MiniMax-M1-80k commercially?
Yes, Apache-2.0 permits commercial use.

Sources: https://huggingface.co/MiniMaxAI/MiniMax-M1-80k, https://huggingface.co/MiniMaxAI/MiniMax-M1-80k/discussions/1, https://arxiv.org/abs/2506.13585
More: https://localmodel.run/model/minimax-m1-80k