CanMyPCRunAILocal AI compatibility

Cohere · cohere2

Can I run command-r7b-arabic?

A new state-of-the-art version of the lightweight Command R7B model that excels in advanced Arabic language capabilities for enterprises in the Middle East and Northern Africa.

Family maximum: 16K contexttextCreative Commons Attribution-NonCommercial 4.0 International Public3 builds

Parameter counts and memory belong to each build below. A family can contain several sizes and tasks; fitting in memory is not a quality ranking.

Calculate memory for a build and context

command-r7b-arabic system requirements

Memory needed at 4K context, counting model weights, KV cache, compute buffers and runtime overhead. Download sizes come from the official Ollama registry.

Download size and memory required for each command-r7b-arabic build
BuildQuantizationDownloadMemory needed
command-r7b-arabic:7b7B parameters (tag)16K documented maximum contextBuild sourceCatalog checked 2026-10-13Q4_K_M4.7 GB~6.0 GB
command-r7b-arabic:7b-02-2025-q8_07B parameters (tag)16K documented maximum contextBuild sourceCatalog checked 2026-10-13Q8_08.0 GB~9.5 GB
command-r7b-arabic:7b-02-2025-fp167B parameters (tag)16K documented maximum contextBuild sourceCatalog checked 2026-10-13F1615.0 GB~17.1 GB

Showing the 3 smallest non-alias builds. Choose any build and change the context. A context above the build's documented maximum is a hypothetical calculation, not a supported setting.

How to run command-r7b-arabic locally

  1. 1.Install Ollama for Windows, macOS or Linux.
  2. 2.Download this exact build in a terminal: ollama pull command-r7b-arabic:7b
  3. 3.Check the source for the build's task. For text generation, run ollama run command-r7b-arabic:7b. Base/text builds may need a prompt template; an instruct build is usually the appropriate starting point for a conversation.

Frequently asked questions about command-r7b-arabic

How much VRAM do I need to run command-r7b-arabic?
At 4K context, the smallest published build of command-r7b-arabic (Q4_K_M) needs roughly 6.0 GB of GPU memory once weights, KV cache, compute buffers and runtime overhead are counted. Bigger quantizations and longer context windows need more. It can also run partly or entirely on the CPU using system RAM, more slowly.
Can I run command-r7b-arabic without a dedicated GPU?
A supported CPU runtime can use system RAM. The smallest listed build needs an estimated 6.0 GB at 4K context, plus headroom for your operating system. Check the build's runtime requirements. We have not measured its speed on your CPU.
How big is the command-r7b-arabic download?
The smallest published build is 4.7 GB. There are 3 builds in total, the largest being 15.0 GB. Leave some extra free disk space beyond the download itself.
How do I run command-r7b-arabic locally?
Install Ollama, then download a specific build with "ollama pull command-r7b-arabic:7b". For a build that supports text generation, use ollama run with the same tag. Check the model source for its task and prompt format.

Will command-r7b-arabic run on your PC?

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Or start from your memory: 8 GB VRAM, 12 GB VRAM, 16 GB VRAM, 24 GB VRAM or a 16 GB Mac.

Model data from the official Ollama registry · verified 13/10/2026