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How to run the 4B decision model on a Mac with RSI Jev

Serve the MLX build of v6.1-VL 4B on Apple silicon using the MLX backend.

Who it is forA developer or analyst on an Apple silicon Mac who wants to test decision models without a dedicated GPU.

The problemMost model serving setups assume an NVIDIA GPU, which a Mac does not have.

The outcomeA local server on a Mac that answers decision questions with the 8-bit or 4-bit MLX build.

What you need first

  • Python with pip and git installed
  • A GPU with enough memory for the chosen model, or an Apple silicon Mac for the MLX builds
  • A 96 GB GPU if you want to serve the 27B model

Steps

  1. Install the MLX extras with pip install "rsi-jev[mlx,vision] @ git+https://github.com/Shanghua-Gao/RSI-Jev"
  2. Start the 8-bit build with rsi-jev serve v6.1-vl-4b-mlx-8bit --backend mlx
  3. Read docs/mac.md in the repo for the 4-bit build, which is smaller, and for setup details
  4. Send a test request to the local server as shown in the repo's quickstart

Prompt for your agent

In the Shanghua-Gao/RSI-Jev repo, install the mlx extras with pip, then run `rsi-jev serve v6.1-vl-4b-mlx-8bit --backend mlx`. Follow docs/mac.md and send one decision request about <question> to the local server. Return the answer and the layer reported. Verify that the server runs on Apple silicon and returns a response without errors.

Caveat. The README describes the MLX builds only for the 4B model, so do not expect the 27B model to run on a Mac from these instructions.

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