Local AI Advisor

Can Laptop · Core Ultra 7 258V (Arc 140V) · 32 GB run DeepSeek-V4-Flash (284B-A13B)?

32 GB unified · 136 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 ≈132 GB but only ≈24 GB is available after the OS, other apps and Open WebUI.

Why it doesn’t fit

Even its smallest practical version (Q3_K_M) needs about 132 GB for the model, its context memory and the runtime. After Windows (≈4.5 GB), a browser with a few tabs (≈3.0 GB) and Open WebUI (≈1.0 GB), Laptop · Core Ultra 7 258V (Arc 140V) · 32 GB has about 24 GB left, so it’s 108 GB short.

Ways to make it work

  • Close everything else

    Not enough on its own: with every other app closed it’s still about 105 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

    You’d want at least 140 GB of memory in total. The machines below are the cheapest that run it comfortably.

  • Check your exact setup

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

    Check Laptop · Core Ultra 7 258V (Arc 140V) · 32 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 Laptop · Core Ultra 7 258V (Arc 140V) · 32 GB

The best-rated models for chat on this machine.

Everything Laptop · Core Ultra 7 258V (Arc 140V) · 32 GB can run

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

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

Different tool, context size or workload?

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

Open sourceCheck my exact setup