clem/100_most_popular_hardware_setups_on_HF

100 Most Popular Hardware Setups on Hugging Face

🛠️ Are you an AI builder? Help make this dataset richer and more representative — add your hardware to your HF profile here: https://huggingface.co/settings/local-apps. The more builders share, the better the community can match models, quantizations, and tools to real-world setups. Let's go local AI! 🤗

Dataset Summary

This dataset compiles the 100 most popular hardware setups reported by the Hugging Face community through the local hardware section of their profiles. It was compiled on Thursday, April 30, 2026 from 297,135 users who voluntarily shared the hardware they use to run AI models locally — making this one of the largest open snapshots of real-world AI hardware in use today.

The goal is to help the community understand what hardware AI builders are actually running, inform model and quantization choices, and guide tooling and optimization efforts for local AI.

Why This Matters

Local AI is exploding. Knowing what hardware people actually have lets:

• Model creators prioritize quantizations and sizes that match real-world setups.
• Tool builders (inference engines, runtimes, UI apps) optimize for the most common configurations.
• Hardware vendors and reviewers see what AI builders are choosing.
• Individual builders benchmark their own setup against the community.

Dataset Structure

The dataset is provided as a single markdown file: top100_hardware_setups.md.

Each row represents one hardware setup, ranked by the number of users reporting it:

Column	Description
#	Popularity rank (1–100)
Setup	The hardware label as displayed on HF profiles, prefixed with a vendor emoji (🍎 Apple Silicon, 🟢 NVIDIA, etc.)
Users	Number of Hugging Face users reporting this exact setup

Sample (top 6)

#	Setup	Users
1	🍎 Apple M4	6,377
2	🍎 Apple M4 Pro	6,207
3	🍎 Apple M1 Pro	4,815
4	🟢 NVIDIA RTX 3060	4,737
5	🍎 Apple M1	4,499
6	🟢 NVIDIA RTX 4090	4,398

Source

Data is aggregated from the opt-in "Local Apps & Hardware" section of public Hugging Face profiles: 👉 https://huggingface.co/settings/local-apps

This snapshot was compiled on Thursday, April 30, 2026 from 297,135 users who had filled in their hardware section at that time. Only setups voluntarily and publicly disclosed by users are included. Individual user identities are not included — this dataset reports aggregate popularity only.

Intended Uses

• Recommending models that fit a user's hardware
• Sizing quantization releases (Q4, Q5, Q8, FP16, etc.)
• Research on local AI adoption trends
• Community benchmarks and comparisons

Out-of-Scope / Limitations

• Self-reported. Users describe their own hardware, so labels can be inconsistent or incomplete.
• Selection bias. Only HF users who filled in their hardware section are counted — likely skewed toward more engaged local-AI builders.
• Snapshot. Reflects the community at the time of extraction; popularity shifts as new GPUs and Apple Silicon generations launch.
• Aggregate only. Per-user data is intentionally excluded.

Updates

This dataset is intended to be refreshed periodically as more builders share their setups and as the hardware landscape evolves.

Contribute Your Hardware

If you build with AI locally, please take 30 seconds to add your setup to your Hugging Face profile:

👉 https://huggingface.co/settings/local-apps

Every additional builder makes future versions of this dataset more accurate and more useful for the whole community.

Citation

If you use this dataset, please cite:

@misc{100_most_popular_hardware_setups_on_HF,
  author = {Delangue, Clement and the Hugging Face community},
  title  = {100 Most Popular Hardware Setups on Hugging Face},
  year   = {2026},
  url    = {https://huggingface.co/datasets/clem/100_most_popular_hardware_setups_on_HF}
}

License

Released under Apache 2.0.

Acknowledgements

Huge thanks to the 297,135 AI builders who shared their setups on their Hugging Face profiles — this dataset wouldn't exist without you. Let's go local AI! 🤗