How to use from
OpenClaw
Start the MLX server
# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "AlphaOxO/Maincoder-1B-8bits-mlx"
Configure OpenClaw
# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "AlphaOxO/Maincoder-1B-8bits-mlx" \
  --custom-provider-id mlx-lm \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Quick Links

Maincoder-1B — MLX 8bits

Quantized to 8bits format.

Converted from Maincode/Maincoder-1B using mlx-lm.

Requirements

The Maincoder model type is support in my mlx-lm fork(AlphaKure/mlx-lm).

Update at: 2026/09/09

pip install git+https://github.com/AlphaKure/mlx-lm.git@19ed84b1e3333bc9c320109b15dec38fe0784d29

Use

  • use --extra-eos-token '<|im_end|>' to avoid loop response
mlx_lm.generate --model AlphaOxO/Maincoder-1B-8bits-mlx --prompt "def insert_sort(nums: list[int]):" --max-tokens 2048 --extra-eos-token '<|im_end|>'
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