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A local AI model that answers almost twice as fast

This is a ready-made AI model you can run on your own computer — it thinks faster than the standard version and doesn't need the cloud.

01ukisai/Swift-Qwen3.8-27B-GGUF 20873k downloads/mo27B paramsimage-text-to-text

It's a fine-tuned version of Alibaba's Qwen3.8-27B model that runs on your computer, offline, and answers faster than the original.

When it helps

Useful if you want a local assistant for simple tasks and care about privacy or cost; don't expect it to match top cloud models.

Pros

  • Answers almost twice as fast as the standard version
  • Uses 58% fewer reasoning tokens (text chunks) on average
  • Runs locally — no internet connection, no per-request cost
  • Understands both text and images

Cons

  • Needs strong hardware: a Mac with 32GB+ RAM or a 24GB GPU
  • It's a mid-tier model — won't match top cloud models
  • Commercial use above $1M revenue needs a separate license

How to set it up — step by step

  1. 1Open your AI agent (Claude Code, Codex) inside your project folder.
  2. 2Send the agent the text from the block below.
  3. 3Let the agent install Ollama (a tool for running models) and the model.
  4. 4Wait while the agent picks the right version for your computer's memory.
  5. 5Check that the model runs and answers a test question.
  6. 6Give it your first real task and compare the speed yourself.

Text for your agent

Copy this and send it to your agent — Claude Code, Codex, any of them:

Set up the Swift-Qwen3.8-27B model locally via Ollama: https://huggingface.co/ukisai/Swift-Qwen3.8-27B-GGUF — pick the right quantized variant for my machine, install it, and show me how to use it.

You need a Mac with 32 GB of memory or a GPU with 24 GB of VRAM — the 4-bit version takes about 16 GB.

Open on Hugging Face