PhoneClaw and PokeClaw are open‑source, on‑device AI agents for iOS and Android that run Gemma 4 locally, offering offline privacy, zero‑cost operation, and native tool calling through iOS APIs or Android Accessibility services.
Google’s AI Edge Gallery lets you run cutting‑edge large language models such as Gemma 4 entirely offline on Android or iOS devices, offering absolute privacy, zero‑latency responses, and a modular platform with agent skills, thinking mode, multimodal input, and a prompt‑lab for on‑device AI experimentation.
Google’s AI Edge Gallery lets developers run open‑source large language models such as Gemma 4 directly on Android devices without network connectivity, offering an integrated framework with agent skills, thinking mode visualizations, multimodal interaction, and a prompt lab, thereby addressing privacy, latency, and offline AI needs.
Learn how to transform any PDF—including scanned documents—into well‑structured Markdown using a local LLM (Gemma 3 via Ollama), Python, PyMuPDF and Pillow, without cloud APIs or API keys, by converting pages to images, prompting the model, and saving the output.
This guide shows how to quickly and cheaply deploy the open‑source Google Gemma large language model on Alibaba Cloud Function Compute GPU using the new idle‑billing mode, covering prerequisites, Docker image creation, function setup, idle reservation, testing, monitoring, and cost estimation.
Google has released the open‑source Gemma LLM series (2B and 7B parameters) built on Gemini‑style architecture, offering free, commercial‑ready models that run on notebooks, support JAX/PyTorch/TensorFlow, outperform many open‑source peers, and have quickly sparked extensive community testing and discussion.
Google’s newly released open‑source Gemma models let developers run powerful large‑language‑model workloads on notebooks, workstations, or cloud platforms, offering competitive performance, extensive tooling, and built‑in safety measures for responsible AI deployment.
Google has launched Gemma, an open‑source large language model available in 2B and 7B parameter versions, built on the same technology as Gemini, outperforming many existing models and capable of running on ordinary laptops, with a detailed technical report and quick‑start guide provided online.
