Reddit user runs Qwen3.8 27B Q4 for coding on a low-end laptop
A Reddit user in r/LocalLLaMA reports using Qwen3.8 27B Q4 through LM Studio for coding and game modding on a laptop with 20GB RAM, 4GB VRAM and an eighth-generation i7 processor. They measured roughly 0.67–0.77 tokens per second and said some tasks required iterations, while primarily using Pi agent and occasionally Opencode. The account is a single unverified user report; the model identity and performance were not independently validated.
The report provides a concrete low-end hardware configuration and local AI coding workflow, but its measurements and claimed results remain anecdotal.
my laptop is very old, like 20G of ram 4G Vram 256G NVMe Gen3 From samsung i7 8th gen
on these specs i got around 0.67 - 0.77 token per second yes, extremely slow, most of you won't even like it, or use it
but free APIs these days are rare, and extremely limited usage, and my country has banned worldwide transactions, so No Claude, No GPT, No Argon
my only way is Local LLMs, and here we are
i achieved some projects with Qwen, actually, it fixed bugs in my old projects, i used it for modding games (like grey hack, Cell to Singularity, Some of itch io games, using Dnspy and Ghidra) it done pretty well, some tasks required iterations
i used LM Studio, and for coding i used Pi agent mostly, and sometimes Opencode
i genuinly loved that model, but lately i have been interested more in Ornith 1.5 122B A10B, i am planning to download it, and use mmap with Q3 K XL, i loved to share my experience here
#Qwen3.8 27B Q4#LM Studio#Pi agent#Opencode#Ornith 1.5 122B A10B#DnSpy#Ghidra