Instructions to use MirilAI/Miril-Drone-2B-1-MLX-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use MirilAI/Miril-Drone-2B-1-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("MirilAI/Miril-Drone-2B-1-MLX-8bit")
config = load_config("MirilAI/Miril-Drone-2B-1-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 MirilAI/Miril-Drone-2B-1-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 "MirilAI/Miril-Drone-2B-1-MLX-8bit"

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "mlx-lm": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "MirilAI/Miril-Drone-2B-1-MLX-8bit"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use MirilAI/Miril-Drone-2B-1-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 "MirilAI/Miril-Drone-2B-1-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 MirilAI/Miril-Drone-2B-1-MLX-8bit

Run Hermes

hermes

OpenClaw new

How to use MirilAI/Miril-Drone-2B-1-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 "MirilAI/Miril-Drone-2B-1-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 "MirilAI/Miril-Drone-2B-1-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"

Miril-Drone-2B-1-MLX-8bit

8-bit Apple Silicon MLX deployment variant of Miril-Drone-2B-1

Drones can talk, including on Apple Silicon.

This repository packages the 8-bit MLX variant of Miril-Drone-2B-1, a 2B-class aerial VLM for drone-view imagery.

Use the primary model card for behavior, prompting, schemas, examples, WALDO vocabulary, limitations, and safety notes:

https://huggingface.co/MirilAI/Miril-Drone-2B-1

The V1 prompt contract is the same as the main model: caption_v1, simple_answer_v1, and operational_coordinate_v2. V1 operational coordinates are rough representative grid cues for review, not flight-control commands. V2 is coming soon with finer pointing behavior.

Interactive demo:

https://huggingface.co/spaces/MirilAI/Miril-Drone-2B-1-Demo

Use

Use an MLX-VLM build that supports Gemma 4 image-text models, then pass the same prompts documented in the primary model card. Keep prompts plain and include the required JSON schema text.

License

Apache License 2.0. See LICENSE and NOTICE.

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Safetensors

Model size

2B params

Tensor type

BF16

U32

MLX

Hardware compatibility

8-bit

Model tree for MirilAI/Miril-Drone-2B-1-MLX-8bit

Base model

google/gemma-4-E2B

Finetuned

google/gemma-4-E2B-it

Finetuned

MirilAI/Miril-Drone-2B-1

Quantized

(5)

this model