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Gemma is a family of open-weight language models released by Google for text generation and related NLP tasks.
…With the right hardware configuration, you can run genuinely useful local LLMs. Before you even consider hosting your own LLMs, it's vital that you learn that getting one to work locally…
…But at the same time, I'm also using my local LLM , especially since our internet provider has been a little unstable lately, so it's actually become really helpful during outages…
…Open Notebook also supports up to four AI speakers, which is pretty useful when I want distinct voices for long discussions spanning multiple sources. Assuming you’ve got a fully local pipeline…
…ve used the unofficial HA-MCP Server repo But there’s even an official MCP integration for Home Assistant Technically, Home Assistant includes native integrations for Ollama and other local providers, and…
…Related I finally found a local LLM I actually want to use for coding Qwen3-Coder-Next is a great model, and it's even better with Claude Code as a harness…
…The tool-using nature of humans has got us this far, but now we're giving our tools, tools. What happens when the probabilistic nature of LLMs decides something that can't…
…For example, I’ve been using 4xNomos8kDAT to upscale old low-resolution images, and it works exceedingly well for decade-old photos. Heck, local image models can even replace Adobe’s generative…
…hours of using it for the first time. The extension can even spin up a llama.cpp environment But I’ve paired it with bulky models running on local llama-server instances…
…I ran it with Gemma and GPT via OpenRouter - the multi-model switching in a single interface is genuinely useful, and API pricing for low-to-moderate use tends to work out…
…There's also more setup involved than just using a cloud model, planning over long horizons is weaker, and long-context reliability can be rough. Local isn't beating top-end Claude…