Andyyyy64/whichllm

Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly.

6.8k
Stars
378
Forks
70.7
Radar Score
Rising
Momentum

Scoring Breakdown

Impact84.7
Velocity63.4
Health58.4

Growth Metrics

7-Day Stars
+9
30-Day Stars
+82
Acceleration
0.47x
Language
Python

Why it ranks

Strong momentum — adoption is accelerating week over week.

Local AI · local runnerTop 76% globally+9 stars / 7d+82 stars / 30d

🛡️ Enterprise Readiness & Commercial Safety

Organic Growth
78%
Moderate Confidence
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
A
Based on maintenance, issue response, and release cadence.
Radar Score
70.7
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
  • Issue engagement: 6 open issues for 6,832 stars (0.1%).
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.

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