Jeff is an open-source project providing 0.8B-parameter decision models that are Jev-compatible, designed to be trained on consumer hardware at home and running inference in approximately 30 milliseconds. The project lowers the barrier to local, fast decision-model deployment by keeping model size small enough for solo builders. It has attracted moderate attention on Hacker News with 245 points and 96 comments.
Background
The push toward running capable AI models locally on consumer hardware has accelerated, with sub-billion-parameter models becoming practical for specific tasks like decision-making and lightweight inference. Open-source projects that make such models accessible to hobbyists contribute to the broader trend of democratizing AI development outside large labs.
- Source
- Hacker News (RSS)
- Published
- Sep 29, 2026 at 04:23 AM
- Score
- 5.0 / 10