CanMyPCRunAILocal AI compatibility

Ollama Library · bert

Can I run all-minilm?

Embedding models on very large sentence level datasets.

23M parameterstextApache License2 builds

all-minilm 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 all-minilm build
BuildQuantizationDownloadMemory needed
all-minilm:22mF160.0 GB~0.6 GB(est.)
all-minilm:33mF160.1 GB~0.6 GB(est.)

Figures marked (est.) approximate the KV cache because this model's architecture details are not published. They are indicative rather than exact.

How to run all-minilm locally

  1. 1.Install Ollama for Windows, macOS or Linux.
  2. 2.Run this in a terminal:ollama run all-minilm:22m
  3. 3.The weights download on first run, then an interactive prompt opens.

Frequently asked questions about all-minilm

How much VRAM do I need to run all-minilm?
At 4K context, the smallest published build of all-minilm (F16) needs roughly 0.6 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 all-minilm without a dedicated GPU?
Yes, but slowly. Without a GPU the model runs on the CPU using system RAM, which usually means a few tokens per second rather than dozens. You would need at least 0.6 GB of free RAM for the smallest build.
How big is the all-minilm download?
The smallest published build is 0.0 GB. There are 2 builds in total, the largest being 0.1 GB. Leave some extra free disk space beyond the download itself.
How do I run all-minilm locally?
Install Ollama, then run "ollama run all-minilm:22m" in a terminal. The weights download on first use and an interactive session opens.

Will all-minilm run on your PC?

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Model data from the official Ollama registry · verified 13/09/2026