---
language:
  - en
library_name: mlx
pipeline_tag: image-text-to-text
base_model: MirilAI/Miril-Drone-2B-1
license: apache-2.0
tags:
  - aerial-vlm
  - drone
  - uav
  - vision-language-model
  - aerial-imagery
  - mlx
  - int8
  - apple-silicon
  - edge-ai
  - physical-ai
  - miril
---

# 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](https://huggingface.co/MirilAI/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`.