Skip to content
FastVLM.net

FASTVLM MODEL

FastVLM-1.5B

Official checkpoint overview, published benchmark scores and practical starting points.

BalancedBalanced

A middle-sized official variant that improves every score in Apple’s published table over 0.5B while remaining substantially smaller than 7B.

Best for
Balanced local inference and Apple Silicon development
Supported paths
Python · Apple Silicon · Workstation
Checkpoint
apple/FastVLM-1.5B
Download from Hugging Face
Download command 
huggingface-cli download apple/FastVLM-1.5B

Published benchmark scores

Scores copied from Apple’s FastVLM model cards. Higher is better; compare only within the same benchmark row.

BenchmarkFastVLM-1.5B
AI2D77.4
ScienceQA94.4
MMMU37.8
VQAv279.1
ChartQA80.1
TextVQA70.4
InfoVQA59.7
DocVQA88.3
OCRBench70.2
RealWorldQA61.2
SeedBench-Img74.2

Recommended next steps

  • Read the Apple AMLR model license and model card.
  • Estimate hardware needs from the exact files and chosen precision.
  • Start with a representative image and prompt set.
  • Measure first-load, warm latency, memory and output quality on your target device.
Open implementation guides