How to use from
Pi
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 the model in Pi
# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "mlx-lm": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "AlphaOxO/Maincoder-1B-8bits-mlx"
        }
      ]
    }
  }
}
Run Pi
# Start Pi in your project directory:
pi
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|>'
Downloads last month
31
Safetensors
Model size
1B params
Tensor type
U32
·
BF16
·
MLX
Hardware compatibility
Log In to add your hardware

8-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for AlphaOxO/Maincoder-1B-8bits-mlx

Quantized
(7)
this model

Collection including AlphaOxO/Maincoder-1B-8bits-mlx