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FASTVLM MODEL

FastVLM-7B

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

Best qualityTop scores

The largest official FastVLM variant and the top scorer in every row of Apple’s published evaluation table. Prefer native desktop-class deployment.

Best for
Highest published FastVLM benchmark quality
Supported paths
Python · Desktop · Native deployment
Checkpoint
apple/FastVLM-7B
Download from Hugging Face
Download command
huggingface-cli download apple/FastVLM-7B

Published benchmark scores

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

BenchmarkFastVLM-7B
AI2D83.6
ScienceQA96.7
MMMU45.4
VQAv280.8
ChartQA85.0
TextVQA74.9
InfoVQA75.8
DocVQA93.2
OCRBench73.1
RealWorldQA67.2
SeedBench-Img75.4

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