Hugging Face Model Downloads by Country of Origin, 2022-2026

Yearly Hugging Face model download counts aggregated by repository and the origin country of the model. This dataset reproduces Hugging Face's official download methodology, validated to within ~0.4% of public download badges. It was created by XciD and sourced from archived hub access logs spanning from 2022 to 2026.

Use Cases

• Analyze the market share of AI models by country of origin based on download counts.
• Track the growth of model downloads from specific geographic regions over the 2022-2026 period.
• Benchmark the popularity of model repositories by comparing download volumes aggregated by origin country.

Strengths

• Download counts are validated to within ~0.4% against Hugging Face's official public download badges.
• Data covers a five-year time range from 2022 to 2026.
• Reproduces Hugging Face's official model-download methodology using archived access logs.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic or platform bias inherent to Hugging Face's user base.

Provenance

Source

Hugging Face archived hub access logs (elastic-cloud-archive-db.all_requests_reports via Athena).

Collection Method

Aggregated yearly download counts by repository and model origin country.

Time Range

2022 to 2026

Freshness

Last updated 2026-06-28 10:14:28; freshness should be verified.

Geography

Global, aggregated by origin country of the model.