Gemma 4 - GoKawiil

Jeff: open-source 0.8B zero-shot decision models compatible with Jev API

An independent developer released Jeff, a set of small fine-tuned models (based on Qwen3.5 and Gemma 4) that return calibrated probabilities across user-defined options in a single forward pass, taking roughly 22-28ms per decision on consumer hardware like an RTX PRO 6000 or Apple M4 Max. The models share Jev's request format but were trained entirely locally using synthetic data generated by an open model, with no cloud GPUs or closed-model training data involved. Three model variants are available on Hugging Face: Jeff-Qwen3.5-0.8B, Jeff-Qwen3.5-2B, and Jeff-Gemma4-E2B.

github.com · 2026-09-28

Perplexity launches Hybrid Compute to mix local and cloud AI processing

Perplexity has introduced Hybrid Compute, a feature that divides AI tasks between cloud-based models and models running locally on a user's device. It flags files or data containing personal information and lets users choose to process those locally while sending the rest of the task to the cloud, or send everything to the cloud. The feature currently works only in the Perplexity app on Apple Silicon Macs, supporting local models like Gemma 4 E4B and Qwen 3.6 alongside cloud options such as Claude Opus 5 and GPT 5.6 Sol.

androidauthority.com · 2026-09-02