# taeold/djev-run > Deploys the DiffusionGemma-Jev (djev) model on Google Cloud Run with an NVIDIA RTX PRO 6000 GPU and a TypeSafe AI compatible API. Includes Snake, Dino, and Tetris demos running directly in the browser. - Magnitude: 4.6 out of 10 — Early signal - Stars: 135 total · +0 stars today, ≈ 74 by evening - Star trust: star growth looks organic - Category: Language models · Language: HTML · Created: 2026-09-20 · Last push: 2026-09-23 - GitHub: https://github.com/taeold/djev-run · Page: https://gitnova.dev/en/r/taeold/djev-run ## Useful for - Deploy the djev model on Cloud Run with a GPU via gcloud CLI - Connect the TypeSafe AI SDK from Node.js to triage tickets by department and severity - Open the built-in Snake, Dino, or Tetris demos in a browser with no dependencies ## Why it’s here - 0 stars so far today, about 74 expected by the end of the day. - The spike has held for 3 days in a row — not a one-off blip. - The repository is 3 days old and already has 135 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #141. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 6 - Issues and pull requests: 0 - Watchers: 0 - Average over the last week: 54 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 15 ## Stars per day, last 11 days (oldest → newest, today is partial) 2026-09-13 … 2026-09-23: 0, 0, 0, 0, 0, 0, 0, 19, 13, 108, 0 ## Spotted in now - Top new repositories this week: #141 ## More in this category 1. **jaredpalmer/kev** — 8.9 · Breakout · Language models · Python · +0 stars today, ≈ 1,252 by evening kev is a LoRA adapter with a small readout head on top of Qwen2.5-0.5B that answers many typed questions about a document in a single forward pass, returning calibrated probabilities instead of text. Full card: https://gitnova.dev/en/r/jaredpalmer/kev.md 2. **mizorewww/laya-mlx** — 7.2 · Peaking · Language models · Python · +0 stars today, ≈ 802 by evening Native MLX runtime for Laya typed decision models: returns probabilities for choices, scores or truth values without text generation, running locally on Apple Silicon. Full card: https://gitnova.dev/en/r/mizorewww/laya-mlx.md 3. **volotat/mini-AGI** — 7.1 · Early signal · Language models · Python · +0 stars today, ≈ 185 by evening A byte-level continual-learning language model that assembles its own architecture, trains from scratch on a single 8 GB VRAM GPU, and keeps learning from everything it reads. An experiment showing continual learning without catastrophic… Full card: https://gitnova.dev/en/r/volotat/mini-AGI.md 4. **TheoLeeCJ/SemIf** — 6.5 · Peaking · Language models · Python · +0 stars today, ≈ 332 by evening An open reproduction of the Jev-style semantic decision interface: reads typed option probabilities directly from a 4B model's logits without generating text. Runs on a single RTX 3090. Full card: https://gitnova.dev/en/r/TheoLeeCJ/SemIf.md 5. **mizorewww/laya-coreml** — 5.8 · Early signal · Language models · Python · +0 stars today, ≈ 211 by evening Local port of the Laya model to Apple Core ML and Neural Engine: returns typed decisions (choice, score, yes/no) without token generation, with speed and energy benchmarks. Full card: https://gitnova.dev/en/r/mizorewww/laya-coreml.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-09-23 04:05 UTC, updated every 30 minutes.