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Run AI
on your own device

An open technical community for local, on-device, edge and private AI. Learn the tech, choose models, reproduce benchmarks, join projects and solve real problems together.

48Articles
31Project profiles
12Open benchmarks
05Open bounties
LOCAL STACK / 01LIVE
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DEVICE ADVISOR · ALPHA

What models can my device run?

Pick your setup and use case to get a practical local AI starting point.

Based on community benchmarks
01 · Platform
02 · Memory / VRAM
03 · Primary use
RECOMMENDED STACKMatch 86%
01
Recommended model

14B 级开放模型 · Q4_K_M

EngineMLX / Ollama
Est. speed≈ 22–45 tok/s

Great for daily chat, writing and Q&A. Actual performance depends on model version, context length and system environment.

View install guide
COMMUNITY RADAR

Worth watching this week

01 / GUIDE

2026 local model
getting-started & selection guide

Start from your device and real tasks, not from a parameter leaderboard.

Start reading ↗
$ local-ai check --device✓ 32GB unified memory✓ local inference ready
02 / BENCHMARK

Apple M4 Pro:
12 models tested

Complete records of speed, memory, long context and Chinese tasks.

42.8tok/s
BEST RESULT
03 / BOUNTY

Domestic AI PC
open benchmark bounty

Build the first open, reproducible inference benchmark.

Reward¥8,000
START YOUR PATH

Wherever you start,
there's a next step.

Learn, reproduce, contribute, launch — the community offers clear entry points for every stage.