Model · Text generation
Luigi
Gemma-4-E2B (QAT) fine-tuned for three on-device meeting tasks, on a phone CPU: 1. Realtime reading. The model reads a live zh-TW meeting transcript window by window and writes short cited notes: decisions, actions, proposals, open issues and key figures. The harness turns those notes into minutes. 2. Notes → prose (from v8 on). It turns the notes into a cited summary in prose. 3. Notes → title (from v8 on). It writes a title for the whole meeting from the notes. mobile-v2/ holds the E2B mobile-v2 reader. It continues mobile-v1 with two training stages: 1. SFT on reading rows plus dense-list conversion rows, including a third domain: Taiwanese financial TV programs; 2. one round of…
Open weights
apache-2.0
gguf
Model · Text generation
Luigi
Gemma-4-E4B fine-tuned to read a live zh-TW meeting transcript on a phone, window by window, and write short cited notes: decisions, actions, proposals, open issues and key figures. The same model turns the notes into a prose summary and a title. It is the E4B sibling of mobile-v1: same prompts, protocol and note format, fewer factual errors, about 3× slower. Latest: mobile-v2/ (2026-10-17), see the mobile-v2 section. The files at the root are mobile-v1. mobile-v2/ holds the E4B mobile-v2 reader. It continues mobile-v1 with two training stages: 1. SFT on reading rows plus dense-list conversion rows, including a third domain: Taiwanese financial TV programs; 2. one round of on-policy…
Open weights
apache-2.0
litert-lm