Can You Run Kimi K3 Locally?

Kimi K3, from Moonshot AI, is the AI story of the week: a 2.8-trillion-parameter open-weight model that early third-party testing ranked competitively with the best systems from the US labs. Announced on July 16, 2026, it immediately drew "DeepSeek shock" comparisons. So the obvious question is: can you run Kimi K3 on your own machine?

Two honest answers, and both matter.

Are the weights even available yet?

Not at the time of writing. Moonshot announced Kimi K3 on July 16, 2026, but the open weights are scheduled to be released on July 27, 2026. Until then there is no downloadable checkpoint and no GGUF build — so nobody is running K3 locally yet. Once the weights drop, quantized GGUF versions will follow, and we'll add the exact memory numbers here.

Even after July 27 — can a normal PC run it?

No. At 2.8 trillion parameters, Kimi K3 is a data-center model. Even at an aggressive 4-bit quantization, a model this size needs on the order of a terabyte of memory to load — orders of magnitude beyond any desktop GPU, and beyond most multi-GPU workstations too. For scale, it is roughly ten times the size of DeepSeek V4-Flash, which already needs ~146 GB and doesn't fit a consumer card.

When quantized GGUF builds appear, the very smallest ones may run on high-end multi-GPU servers or 512 GB+ workstations with heavy offloading — but not on a gaming PC.

Which Kimi models CAN you run locally today?

Moonshot also ships much smaller open-weight Kimi models that do fit consumer hardware — and they're available as GGUF right now:

• Kimi-Linear-48B — a 48B Mixture-of-Experts model with only ~3B active parameters (so it's fast). Under the MIT license, with a 1M context. It runs on a 24 GB GPU at Q2_K (about 20.5 GB in VRAM), and at higher quality with some system-RAM offloading.
• Kimi K2.6 / K2.7 and various Kimi distills — a range of sizes for different GPUs.

These give you the Kimi family locally, privately and for free, without waiting for — or needing a data center to run — the full K3.

How to check what fits your GPU

Memory needs depend on model size, quantization and context length. Search any Kimi model to see its exact RAM/VRAM per quantization, or pick your graphics card to see what fits. New to quantization? Read GGUF quantization explained and the best LLM for your VRAM.

The bottom line

Kimi K3 is a landmark open-weight release — but at 2.8 trillion parameters it's built for data centers, not desktops, and its weights aren't public until July 27, 2026. If you want Kimi on your own hardware today, Kimi-Linear-48B is the one to try. Check exactly what your PC can run, and come back after July 27 for K3's quantized numbers.