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Ask HN: Who uses open LLMs and coding assistants locally? Share setup and laptop

330 points threeturn | 1 comments | 31 Oct 25 13:39 UTC | HN request time: 0.29s | source

Dear Hackers, I’m interested in your real-world workflows for using open-source LLMs and open-source coding assistants on your laptop (not just cloud/enterprise SaaS). Specifically:

Which model(s) are you running (e.g., Ollama, LM Studio, or others) and which open-source coding assistant/integration (for example, a VS Code plugin) you’re using?

What laptop hardware do you have (CPU, GPU/NPU, memory, whether discrete GPU or integrated, OS) and how it performs for your workflow?

What kinds of tasks you use it for (code completion, refactoring, debugging, code review) and how reliable it is (what works well / where it falls short).

I'm conducting my own investigation, which I will be happy to share as well when over.

Thanks! Andrea.

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kabes ◴[31 Oct 25 21:10 UTC] No.45776731[source]▶
Let's say I have a server with an h200 gpu at home. What's the best open model for coding I can run on it today? And is it somewhat competitive with commercial models like sonnet 4.5?
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1. skhameneh ◴[31 Oct 25 21:33 UTC] No.45776946[source]▶
That's still very limiting when comparing to commercial models. To be truly competitive with commercial offerings the bar is closer to 4-8x that for one node .

That said, maybe a quantized version of GLM 4.5 Air, but if we're talking no hardware constraints I find some of the responses from LongCat-Chat-Flash to be favorable over Sonnet when playing around with LMArena.