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Gemma is a family of open-weight language models released by Google for text generation and related NLP tasks.
…Google says this makes it faster and more efficient when running on local hardware like an Nvidia DGX or a humble gaming GPU. Most AI models are designed to be autoregressive—they…
…with Google’s Gemma 4 architecture. Up to 4x faster performance: The boost means fast text generation, where single-user generation usually stalls — on local hardware. Open and local: DiffusionGemma is open…
…Sign in to your XDA account Summary Local AI runs on modest PCs - no RTX needed; efficient small models work on CPU and iGPU. Sub-1B models feel instant for simple tasks…
…But apparently someone has made an SXM2-to-PCIe adapter, and with that and a cooling mod, the V100 was more than capable of running LLMs locally. The adapter cost another $100…
…I wrote a Python script that uses Gemma 4 31b, running locally on my PC, to identify the game in each clip and sort the files automatically. It actually works, and it…
…Sign in to your XDA account Running a single local LLM on your own hardware is one thing. Running two of them at the same time, on the same machine, with shared…
…At least when you're running local AI. Ollama Ollama is a platform to download and run various open-source large language models (LLM) on your local computer. See at Ollama
…The two models I keep coming back to are Qwen 3.5 9B and Gemma 4 E4B, both running fine on my 8GB VRAM, so hardware isn't really the bottleneck for…
…if running on devices with slower memory, like a notebook or consumer graphics card. Both of these models feature a 256,000-token context window, making them appropriate for local code assistants…
…Related I replaced ChatGPT and Claude with this powerful local LLM and saved over $20 a month while gaining full control Qwen3.6 runs on my old GPU and does what ChatGPT…