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Show HN: Local personal data redaction for any AI tools

12 points by unusual_typo

by unusual_typo

0 subcomment

Here are the benchmark results. You can check more details in the repo. openai/privacy-filter on Apple M1 Max

   dtype              1k total    1k tok/s       8k total    8k tok/s
  ━━━━━━━━━━━━━━━━  ━━━━━━━━━━━  ━━━━━━━━━━  ━━━━━━━━━━━━━  ━━━━━━━━━━
   fp32              620.52 ms       1,664    4,893.86 ms       1,689
  ────────────────  ───────────  ──────────  ─────────────  ──────────
   fp16              654.56 ms       1,578    5,430.17 ms       1,521
  ────────────────  ───────────  ──────────  ─────────────  ──────────
   q4                582.13 ms       1,776    4,635.39 ms       1,784
  ────────────────  ───────────  ──────────  ─────────────  ──────────
   q4f16             648.10 ms       1,594    5,261.56 ms       1,570
  ────────────────  ───────────  ──────────  ─────────────  ──────────
   quantized int8    573.94 ms       1,801    4,594.95 ms       1,800

by anoop_kumar

1 subcomments

I would love to have an option where instead of just redaction; I'd love to swap it with something else when it goes to AI and then swap it back when the AI returns it. Thanks for sharing the github. I might submit a PR if I don't find that feature

by levi840714

1 subcomments

Nice, local is the right call. What's the local AI model — a small NER model bundled in, or calling out to something? Curious about the size/footprint for a desktop app.

by biduskamil

1 subcomments

Local is the way. Any benchmarks on latency it has on CPU?

by momoraul

0 subcomment

[dead]