NexaAI/SmolVLM-Instruct-8bit-MLX

Use with mlx

Quickstart

Run them directly with nexa-sdk installed In nexa-sdk CLI:

NexaAI/SmolVLM-Instruct-8bit-MLX

Overview

SmolVLM is a compact open multimodal model that accepts arbitrary sequences of image and text inputs to produce text outputs. Designed for efficiency, SmolVLM can answer questions about images, describe visual content, create stories grounded on multiple images, or function as a pure language model without visual inputs. Its lightweight architecture makes it suitable for on-device applications while maintaining strong performance on multimodal tasks.

Model Summary

• Developed by: Hugging Face 🤗
• Model type: Multi-modal model (image+text)
• Language(s) (NLP): English
• License: Apache 2.0
• Architecture: Based on Idefics3 (see technical summary)

Benchmark Results

Model	MMMU (val)	MathVista (testmini)	MMStar (val)	DocVQA (test)	TextVQA (val)	Min GPU RAM required (GB)
SmolVLM	38.8	44.6	42.1	81.6	72.7	5.02
Qwen-VL 2B	41.1	47.8	47.5	90.1	79.7	13.70
InternVL2 2B	34.3	46.3	49.8	86.9	73.4	10.52
PaliGemma 3B 448px	34.9	28.7	48.3	32.2	56.0	6.72
moondream2	32.4	24.3	40.3	70.5	65.2	3.87
MiniCPM-V-2	38.2	39.8	39.1	71.9	74.1	7.88
MM1.5 1B	35.8	37.2	0.0	81.0	72.5	NaN

Reference

Original model card: HuggingFaceTB/SmolVLM-Instruct