Ask HN: Who uses open LLMs and coding assistants locally? Share setup and laptop
11–20 of 196 posts
Re: Ask HN: Who uses open LLMs and coding assistants locally? Share setup and laptop
#12Re: Ask HN: Who uses open LLMs and coding assistants locally? Share setup and laptop
#13Re: Ask HN: Who uses open LLMs and coding assistants locally? Share setup and laptop
#14Also I could think that a local model just for autocomplete could help reducing latency for completion suggestions.
Re: Ask HN: Who uses open LLMs and coding assistants locally? Share setup and laptop
#15I passed on the machine, but we set up gpt-oss-120b on a 128GB RAM Macbook pro and it is shockingly usable. Personally, I could imagine myself using that instead of OpenAI's web interface. The Ollama UI has web search working, too, so you don't have to worry about the model knowing the latest and greatest about every software package. Maybe one day I'll get the right drivers to run a local model on my Linux machine w…
Re: Ask HN: Who uses open LLMs and coding assistants locally? Share setup and laptop
#16Re: Ask HN: Who uses open LLMs and coding assistants locally? Share setup and laptop
#17llama.cpp + Qwen3-4B running on older PC with AMD Radeon GPU (Vulcan). Users connect via web UI. Usually around 30 tokens/sec. Usable.
Re: Ask HN: Who uses open LLMs and coding assistants locally? Share setup and laptop
#18In more cases than expected, the M1/M2 Ultras are still quite capable, especially performance power per watt of electricity, as well as ability to serve one user.
The Mac Studio has better bang for the buck than the laptop for computational power to price.
Depending on your needs, the M5's might be worth waiting for, but M2 Max onward are quite capable with enough ram. Even the M1 Max continues to be a workhorse.
Re: Ask HN: Who uses open LLMs and coding assistants locally? Share setup and laptop
#19Gos-oss:20b and qwen3 coder/instruct, devstrall are my usual.
Ps. Definitely check out open-web ui.