Google AI Edge Gallery launches to macOS - 9to5Mac
…But in a nutshell, you need to install platforms such as Ollama and LM Studio , and then install a model that can runs smoothly on your Mac’s hardware. Hugging Face hosts…
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Ollama
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Which one should you actually use now?
The real difference between Ollama's desktop app and llama.cpp's WebUI won't come through unless I use it for longer, coding-heavy workflows, but even on the surface, llama.cpp's WebUI is clearly faster and looks just as polished. Of course, where it wipes the floor with Ollama is the sheer amount of options, menus, and tweakability that it comes with. llama.cpp's WebUI lets you control sampling parameters and context settings, offloading to the GPU, and a whole host of other inference tweaks. This is a tool that exposes practically everything, so if you're the kind of person who enjoys squeez
I finally ditched Ollama after using llama.cpp's WebUI, and I'm not going back anytime soonVideos
More videosLocal LLMs finally beat cloud AI for coding, automation, and brainstorming — here's which ones I use
…Ollama Ollama is a platform to download and run various open-source large language models (LLM) on your local computer. See at Ollama
Building a local LLM news brief taught me my real problem wasn't the sources, it was the apps
…Ollama Using Ollama, I was able to automate a daily briefing that replaced all of my news apps in the morning. See at Ollama
I built Andrej Karpathy's "LLM Council" on my own hardware, and now no single model gets the last word
…Ollama Released July 3, 2023 Developer(s) Jeffrey Morgan and Michael Chiang Ollama is a platform to download and run various open-source large language models (LLM) on your local computer. See…
Discussions and forums
I stopped treating AI models like Pokémon—I don't need to collect them all
…With Ollama, I could test different LLMs on my own hardware and use them to summarize documents, work with notes, analyze PDFs, and understand code. But somewhere along the way, I became…
I replaced cloud LLMs with local models running off a Proxmox LXC, and the performance trade-off was worth it
…After all, pulling LLMs and deploying them is a piece of cake on Ollama, with a bunch of self-hosted apps supporting this inference engine natively. However, its extra performance overhead and…
Welcome Gemma 3: Google's all new multimodal, multilingual, long context open LLM
I'll wait for a Fireship video. · no video by fireship Nice! Looking forward to see it available for Ollama! · already available in Ollama At last, this is the poetic return I…
I ditched LM Studio for llama.cpp, and my local LLM doesn't feel like a downgrade anymore
…Related Ollama is still the easiest way to start local LLMs, but it's the worst way to keep running them Ollama is great for getting you started... just don't stick…
I built a local LLM server I can access from anywhere, and it uses a Raspberry Pi
…I initially wanted to opt for Ollama due to its simple setup process, but it’s far from efficient and lacks sheer performance. In the end, I opted for llama.cpp, which…
I tried Open WebUI, AnythingLLM, and Odysseus to self-host my AI workflow, and only one delivered
…The way it works is that it sits on top of your existing model runner instead of replacing it, so LM Studio, Ollama, llama.cpp, or vLLM keeps doing the actual inference…