Can I run alfred?

alfred 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.

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 alfred locally

1. 1.Install Ollama for Windows, macOS or Linux.
2. 2.Run this in a terminal:ollama run alfred:40b
3. 3.The weights download on first run, then an interactive prompt opens.

Frequently asked questions about alfred

How much VRAM do I need to run alfred?

At 4K context, the smallest published build of alfred (Q4_0) needs roughly 32.1 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 alfred 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 32.1 GB of free RAM for the smallest build.

How big is the alfred download?

The smallest published build is 22.2 GB. There are 2 builds in total, the largest being 41.4 GB. Leave some extra free disk space beyond the download itself.

How do I run alfred locally?

Install Ollama, then run "ollama run alfred:40b" in a terminal. The weights download on first use and an interactive session opens.