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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 soon…Ollama is the invisible engine that powers everything It wins when I need integrations Ollama is the foundation of my local AI setup. Unlike most desktop applications, I rarely interact with it…
…The setup is surprisingly simple Ollama + Open WebUI is all you need I’m using Ollama to run the model and Open WebUI as the interface. Ollama already lets me chat with…
…Ollama makes setting everything up really easy It's pretty simple, even for self-hosting newbies For my setup, I used Ollama as the core engine to run the language models. If…
…Getting Ollama running was the easy part, mostly speaking UGOS doesn’t provide a tidy Ollama app to install, so Docker was the obvious route. I put Ollama in a Compose project…
I am having an issue with Ollama, which is connected to an app called Suggestarr (found on GitHub). When the app runs its automated recommendations, Ollama consumes an incredible amount of system RAM. This causes my fygo…
I got tired of my Ollama server sitting idle between chat experiments, so I pointed it at my Navidrome library and made it run a radio station. The DJ is an agent, not a shuffler. Each turn it gets tools (search the libr…
I have an I5-12600 4x 4GB (16GB) 2144MHz DDR4 RTX 4060 (8GB) 10TB RAIDZ2 480GB for apps I already use the NAS for jellyfin and soon to be password manager, but I want to self host an LLM. Please give me recommendations f…
Anthropic's new MCP spec, Kimi K3 open weights on Ollama, GPT Transcribe, plus
Show HN: Pair your iPhone to your own Ollama over Tailscale with a QR scan
…Building the connection between Ollama and Fable 5 Ollama already supports tool calling Connecting both models was much simpler than I initially expected because Ollama already supports tool calling. I only needed…
…curl -fsSL https://ollama.com/install.sh | sh Ollama는 기본적으로 localhost에서만 수신 대기합니다. 그러나 NemoClaw 에이전트는 자체 네트워크 네임스페이스를 가진 샌드박스 안에서 동작하므로, 네트워크 경계를 넘어 Ollama에 도달해야 하는데요. 모든 인터페이스에서 수신하도록…
…Configure Ollama to listen on all interfaces: sudo mkdir -p /etc/systemd/system/ollama.service.d printf '[Service]\nEnvironment="OLLAMA_HOST=0.0.0.0"\n' | \ sudo tee /etc/systemd/system/ollama…
…In this setup, Ollama acts as the backend server that handles all the heavy lifting, while the browser extension serves as the user interface. Start by installing Ollama and downloading a model…
…I used Ollama to run the model and Open WebUI as the chat interface. I then connected the model to Home Assistant through its MCP server and used self-hosted n8n workflows…
…Ollama The core layer If my self-hosted AI stack were a body, Ollama would be the brain. It’s the core engine that runs large language models directly on my machine…
