Instructions to use Mininglamp-2718/Mano-CUA-2.0-4B-MLX-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Mininglamp-2718/Mano-CUA-2.0-4B-MLX-8bit with MLX:

# Make sure mlx-vlm is installed
# pip install --upgrade mlx-vlm

from mlx_vlm import load, generate
from mlx_vlm.prompt_utils import apply_chat_template
from mlx_vlm.utils import load_config

# Load the model
model, processor = load("Mininglamp-2718/Mano-CUA-2.0-4B-MLX-8bit")
config = load_config("Mininglamp-2718/Mano-CUA-2.0-4B-MLX-8bit")

# Prepare input
image = ["http://images.cocodataset.org/val2017/000000039769.jpg"]
prompt = "Describe this image."

# Apply chat template
formatted_prompt = apply_chat_template(
    processor, config, prompt, num_images=1
)

# Generate output
output = generate(model, processor, formatted_prompt, image)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings
LM Studio

How to use Mininglamp-2718/Mano-CUA-2.0-4B-MLX-8bit with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "Mininglamp-2718/Mano-CUA-2.0-4B-MLX-8bit"

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": "Mininglamp-2718/Mano-CUA-2.0-4B-MLX-8bit"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent

How to use Mininglamp-2718/Mano-CUA-2.0-4B-MLX-8bit with Hermes Agent:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "Mininglamp-2718/Mano-CUA-2.0-4B-MLX-8bit"

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default Mininglamp-2718/Mano-CUA-2.0-4B-MLX-8bit

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Mininglamp-2718/Mano-CUA-2.0-4B-MLX-8bit with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "Mininglamp-2718/Mano-CUA-2.0-4B-MLX-8bit"

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 "Mininglamp-2718/Mano-CUA-2.0-4B-MLX-8bit" \
  --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"

moldybready commited on Jun 24

Commit

d634ed3

verified ·

1 Parent(s): 1c5aff3

Update README: rename to Mano-CUA-2.0-4B-MLX-8bit

Browse files

Files changed (1) hide show

README.md +5 -5

README.md CHANGED Viewed

@@ -14,11 +14,11 @@ tags:
 - quantized
 ---
-# Mano-CUA-4B-Thinking-1.1-MLX-8bit
 **Mano-CUA** is the Computer Use Agent model under the [Mano](https://github.com/Mininglamp-AI/Mano-P) open-source model series. It is a GUI-VLA (Visual Language Agent) model designed specifically for edge devices, capable of autonomously completing complex desktop GUI operations through visual understanding.
-This is the **MLX 8-bit quantized** version, optimized for Apple Silicon (Mac mini / MacBook). For the full-precision fp16 version, see [Mano-CUA-4B-Thinking-1.1](https://huggingface.co/Mininglamp-2718/Mano-CUA-4B-Thinking-1.1).
 ## Main Capabilities
@@ -63,7 +63,7 @@ from vlm_service import custom_generate
 from PIL import Image
 # 1. Load model
-model, processor = pm.load("Mininglamp-2718/Mano-CUA-4B-Thinking-1.1-MLX-8bit")
 # 2. Load a screenshot
 img = Image.open("screenshot.png")
@@ -170,8 +170,8 @@ if is_available():
 | Version | Repo | Description |
 |---------|------|-------------|
-| fp16 | [Mano-CUA-4B-Thinking-1.1](https://huggingface.co/Mininglamp-2718/Mano-CUA-4B-Thinking-1.1) | Full precision, for archival / re-quantization / GPU inference |
-| MLX-8bit (this) | [Mano-CUA-4B-Thinking-1.1-MLX-8bit](https://huggingface.co/Mininglamp-2718/Mano-CUA-4B-Thinking-1.1-MLX-8bit) | MLX 8-bit quantized, recommended for Apple Silicon local inference |
 ## Contact

 - quantized
 ---
+# Mano-CUA-2.0-4B-MLX-8bit
 **Mano-CUA** is the Computer Use Agent model under the [Mano](https://github.com/Mininglamp-AI/Mano-P) open-source model series. It is a GUI-VLA (Visual Language Agent) model designed specifically for edge devices, capable of autonomously completing complex desktop GUI operations through visual understanding.
+This is the **MLX 8-bit quantized** version, optimized for Apple Silicon (Mac mini / MacBook). For the full-precision fp16 version, see [Mano-CUA-2.0-4B](https://huggingface.co/Mininglamp-2718/Mano-CUA-2.0-4B).
 ## Main Capabilities
 from PIL import Image
 # 1. Load model
+model, processor = pm.load("Mininglamp-2718/Mano-CUA-2.0-4B-MLX-8bit")
 # 2. Load a screenshot
 img = Image.open("screenshot.png")
 | Version | Repo | Description |
 |---------|------|-------------|
+| fp16 | [Mano-CUA-2.0-4B](https://huggingface.co/Mininglamp-2718/Mano-CUA-2.0-4B) | Full precision, for archival / re-quantization / GPU inference |
+| MLX-8bit (this) | [Mano-CUA-2.0-4B-MLX-8bit](https://huggingface.co/Mininglamp-2718/Mano-CUA-2.0-4B-MLX-8bit) | MLX 8-bit quantized, recommended for Apple Silicon local inference |
 ## Contact