# Kimi K2.6: RAM and VRAM requirements

> Kimi K2.6 is a 1000B Kimi model (Mixture-of-Experts, 32B active per token). At Q4_K_M it needs about **592.1 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 | 583.71 GB | ~592.1 GB |
| FP16 | 2053.16 GB | ~2061.6 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/kimi-k2.6

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

## Details
- Parameters: 1000B (MoE, 32B active per token)
- Default context: 256k tokens
- License: Modified MIT (commercial use: conditional)
- Released: 2026-04
- HuggingFace: 875,729 downloads/mo, 1585 likes

## FAQ
### How much VRAM or RAM does Kimi K2.6 need?
About 592.1 GB at Q4_K_M (weights 583.71 GB + KV cache + overhead) at a 4k context.
### Can Kimi K2.6 run on a laptop?
Kimi K2.6 is large; you need a high-memory Mac or a 24 GB+ GPU at Q4_K_M.
### Can I use Kimi K2.6 commercially?
Conditionally: Modified MIT; commercial use allowed below a large-user threshold, attribution above it..

Sources: https://huggingface.co/moonshotai/Kimi-K2.6, https://huggingface.co/unsloth/Kimi-K2.6-GGUF
More: https://localmodel.run/model/kimi-k2.6