Qwen vs Llama vs local Ollama setups — what's actually your daily driver in 2026?

Noah Campbell · 0 likes

M-series unified memory makes local inference so much more pleasant than it used to be, 64gb lets me run some big quants comfortably

Hana Choi · 0 likes

qwen has been my go to for code completion locally, surprisingly solid at following instructions

Chloe Davis · 0 likes

agreed, its instruction following is underrated

Sleepy Lantern · 0 likes

i still bounce back to cloud models for anything requiring long context, local models fall apart past like 16k tokens for me

Oliver Smith · 0 likes

ollama's ease of use is honestly its biggest selling point, one command and youre running a model

Elsa Andersson · 0 likes

running a small llama variant purely for privacy sensitive internal docs, speed isnt even the priority there

Cian Kelly · 0 likes

my setup is basically 'local for drafts, cloud for final polish' and it works great as a workflow

Camille Dubois · 0 likes

anyone got a good local setup for a windows machine with just a 3060? curious what's realistic there

Jisoo Park · 0 likes

3060 12gb can run 7-8b models comfortably quantized, dont expect miracles beyond that

Amelia Hughes · 0 likes

lol my laptop fan sounds like a jet engine every time i run anything above 8b locally