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Jeff – Jev-compatible 0.8B decision models, trained at home, ~30 ms

Hacker News · AIby firelex ()1
AI summary · grok-4.7Summaries by Vani AI

Jeff offers Jev-compatible 0.8B decision models trained at home with about 30 ms responses.

A Hacker News post links to Jeff, a GitHub project offering Jev-compatible decision models with 0.8 billion parameters. The models are described as trained at home and responding in about 30 milliseconds. The thread had 60 points and six comments; the post includes no benchmark scores or further training details.

Key facts
  • Project publishes Jev-compatible decision models at 0.8 billion parameters.
  • Models were trained at home and target about 30 ms latency.
  • The Hacker News thread had 60 points and six comments.
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From the original article

Hacker News · AI

By firelex · github.com

Read the full article at Hacker News · AI

This source shares headlines only. Summary, key facts and assessment above are AI-written from the article and can be wrong.