Local AI Advisor

Can Mac Studio M2 Ultra 64 GB run DeepSeek-V4-Flash (284B-A13B)?

64 GB unified · 800 GB/s memory bandwidth · DeepSeek-V4-Flash (284B-A13B) has 284B parameters (13B active per token).

Short answer

No. It doesn't fit in memory.

Needs ≈118 GB but only ≈54 GB is available after the OS, other apps and Open WebUI.

Why it doesn’t fit

Even its smallest practical version (3-bit) needs about 118 GB for the model, its context memory and the runtime. After macOS (≈6.0 GB), a browser with a few tabs (≈3.0 GB) and Open WebUI (≈1.0 GB), Mac Studio M2 Ultra 64 GB has about 54 GB left, so it’s 64 GB short.

Ways to make it work

  • Close everything else

    Not enough on its own: with every other app closed it’s still about 61 GB short.

  • Pick a smaller model from the same family

    No smaller DeepSeek-V4 model in our catalog runs well here. See the other models below.

  • Get more memory

    The same chip with 192 GB handles it: Comfortable.

  • Check your exact setup

    These pages assume typical settings. A shorter context or a lighter chat app can change the answer.

    Check Mac Studio M2 Ultra 64 GB

The same applies to every workload we rate (chat, coding questions, coding in a repository, agentic coding and long documents): they all need at least as much memory as chat.

Other models for Mac Studio M2 Ultra 64 GB

The best-rated models for chat on this machine.

Everything Mac Studio M2 Ultra 64 GB can run

Cheapest machines for DeepSeek-V4-Flash (284B-A13B)

Hardware rated comfortable or better for chat, lowest price first.

Same chip, other memory: 128 GB, 192 GB

Different tool, context size or workload?

These pages use typical settings. The full check models your exact setup.

Open sourceCheck my exact setup