Apollo-VL-Edge-3B-MLX-8bit

Apollo-VL-Edge-3B (MLX 8bit)

Intelligence isn't about scale. It's about precision.

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Overview

Apollo-VL-Edge-3B (MLX 8bit) is the native Apple Silicon port of Apollo-VL-Edge-3B, engineered by Pluto AI Labs. This repository contains the MLX 8bit quantization, converted from the original FP16 Transformers checkpoint and optimized to run natively on Apple M-Series chips (M1/M2/M3/M4) using the unified memory architecture via the mlx-vlm framework.

This is the 8-bit quantized MLX variant — recommended for users who want near full-precision quality within an 8GB RAM budget.

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Specifications

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Quick Start

Install the mlx-vlm framework and run inference locally:

```bash pip install mlx-vlm ```

```bash python -m mlx_vlm.generate
--model Pluto-AI-Labs/Apollo-VL-Edge-3B-MLX-8bit
--image ./your_image.png
--prompt "Analyze this image step-by-step."
--max-tokens 512 ```

Python API

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

model_path = "Pluto-AI-Labs/Apollo-VL-Edge-3B-MLX-8bit"

model, processor = load(model_path) config = load_config(model_path)

prompt = apply_chat_template( processor, config, "Analyze this image step-by-step.", num_images=1 )

output = generate( model, processor, "./your_image.png", prompt, max_tokens=512, verbose=True ) ```

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MLX Quantization Family

All Apollo-VL MLX variants are available for different hardware targets:

💡 For the original FP16 Transformers checkpoint, GGUF quantizations, and full benchmark results, see the main model repository.

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About Pluto AI Labs

Pluto AI Labs is an independent open-source AI research lab focused on efficient intelligence, multimodal reasoning, model distillation, and edge deployment. We explore how capable AI systems can be made smaller, faster, and more accessible without requiring hyperscale infrastructure.

• GitHub: https://github.com/Pluto-AI-Labss
• Hugging Face: https://huggingface.co/Pluto-AI-Labs

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Citation

If you use Apollo-VL-Edge-3B in your research or projects, please cite:

```bibtex @misc{apollo_vl_edge_3b, title = {Apollo-VL-Edge-3B: Elite Visual Reasoning on Edge Hardware}, author = {Siddharth N.R. and Pluto AI Labs}, year = {2026}, howpublished = {Hugging Face}, url = {https://huggingface.co/Pluto-AI-Labs/Apollo-VL-Edge-3B} } ```

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Apollo-VL-Edge-3B · MLX 8bit

Precision over scale. Reasoning at the edge.

Built by Pluto AI Labs

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