NVIDIA 플랫폼에서 DiffusionGemma 실행하기: 개발자 친화적인 고처리량 텍스트 생성
…NIM 서버를 시작합니다. $ export NIM_IMAGE_PATH = "nvcr.io/nim/google/diffusiongemma-26b-a4b-it:latest" $ docker run --gpus=all \ -e NGC_API_KEY=$NGC_API_KEY \ -v "$LOCAL_NIM_CACHE:/opt…
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Google Gemma
Gemma is a family of open-weight language models released by Google for text generation and related NLP tasks.
I ran this bulky LLM on an SBC cluster, and it's the most unhinged setup I've ever built
…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…
Android Studio I/O Edition: What’s new in Android Developer tools
…Choose any of the top remote models from Google, Anthropic, OpenAI, or if you need to run locally - Gemma 4 is our most capable and efficient local model! And with Android CLI…
The biggest local LLM on your machine is useless if it can't call a single tool, no matter how many parameters it has
…835, which is pretty solid. Gemma 3 4B got 0.733. Llama 3.2 3B got 0.727. These are all local models you can run on consumer hardware. And then there…
Top stories
I split my coding work between Claude, Qwen3-Coder and Gemma 4, and it costs less than paying for one subscription
5d agoI solved Gemma 4's biggest problem by routing it through Claude, and all it took was a Python script
1w agoI tested Google's new Gemma 4 12B on my 8GB GPU, and now I don't want to go back to smaller models
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Google's excellent offline AI app just got even better with three big features
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Google's $100 AI Ultra is still overpriced, and here's what I use instead
…That pricing shift is unsustainable, and I've started running a local LLM as a hybrid model to offset the costs. It's not as fast, or as capable, but it's…
I built my own Googlebook with a Raspberry Pi, local LLMs, and old hardware
…Related 7 self-hosted services I use that can run perfectly on a Raspberry Pi Not every self-hosted application requires a top-of-the-line workstation Open WebUI + local LLMs provide…
Updating Classifier Evasion for Vision Language Models | NVIDIA Technical Blog
…Adversarial attacks against VLMs can leverage open-box optimization techniques such as Projected Gradient Descent (PGD) to craft minimally perceptible pixel perturbations or localized adversarial patches that manipulate model outputs, even for…
I tested local AI vs. ChatGPT side-by-side — here are the 7 biggest differences
…Instead of sending your prompts to powerful servers in the cloud, local AI runs directly on your computer. Tools like LM Studio and Ollama make it possible to download AI models and…