I’m having a lot of fun using less capable versions of models on my local PC, integrated as a code assistant. There still is real value there, but especially room for improvements. I envision us all running specialized lightweight LLMs locally/on-device at some point.

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dotancohen 5 days ago | parent [-]

I'd love to hear more about what you're running, and on what hardware. Also, what is your use case? Thanks!

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fexelein 4 days ago | parent [-]

So I am running Ollama on Windows using an 10700k and 3080ti. I'm using models like Qwen3-coder (4/8b) and 2.5-coder 15b, Llama 3 instruct, etc. These models are very fast on my machine (~25-100 tokens per second depending on model)

My use case is custom software that I build and host that leverages LLMs for example for domotica where I use my Apple watch shortcuts to issue commands. I also created a VS2022 extension called Bropilot to replace Copilot with my locally hosted LLMs. Currently looking at fine tuning these type of models for work where I work in finance as a senior dev

	▲	dotancohen 4 days ago \| parent [-]
		Thank you. I'll take a look at Bropilot when I get set up locally. Have a great week.