New week, new slides: Run LLMs Locally
Added OpenAI's Privacy-Filter model using privacy-filter.cpp.
New slides about economics and hardware used by the Hugging Face community.
https://codeberg.org/thbley/talks/raw/branch/main/Run_LLMs_Locally_2026_ThomasBley.pdf
#ai #llm #llamacpp #wllama #stablediffusion #qwen #localai #gemma4 #webgpu #opencode #huggingface #privacy #digitalsovereignty
I've been playing with #LMStudio for #localLLM with mediocre results. However #gemma4 really changed that. It's faster and is more capable then the other models I could try on my hardware. It has recent data and is able to use a fetch tool(among others) to get info on stuff it doesn't know!
So I installed #ollama and now it runs even faster, to the point where delay(waiting) is not that noticeable.
Since I am a lightweight user, I can see myself using it as mainly source.
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Pascal 1993-2001, PHP/JS/MySQL since 2000, some Rust/C/C++/Java/Go/Bash
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