Alright, folks, Iāve officially joined the āI run AI models on my personal computerā club. My weapon of choice? A Mac Mini M4āsmall, mighty, and (relatively) cheap. Sure, itās not a supercomputer, but itās holding its ground like a champ, and Iām absolutely loving it so far.
Hereās what Iām currently vibing with:
āØ Qwen-2.5 (Coder version) ā Honestly, this model is my new coding sidekick. Itās fast, efficient, and doesnāt complain when I make dumb typos. Bonus: I run it remotely, so itās basically my virtual coworker that doesnāt steal my coffee.
The Mac Mini M4 has proven itself surprisingly capable for this kind of stuff. Sure, Iām not training models from scratch (letās be real, I donāt have a power plant in my living room), but for running pre-trained LLMs like Qwen-2.5, itās smooth sailing. Ollama makes it ridiculously easy, and I might be triggering commands remotely just to feel fancy.
So now Iām wonderingā¦ what are you guys up to in the ārunning AI at homeā game?
Are you team PC Master Race with a rig that sounds like a jet engine?
Maybe rocking a gaming laptop thatās secretly moonlighting as a transformer?
Or are you going full Mac Mini minimalist mode like me?
Letās trade war stories, brag about models weāve got running, and laugh at our power bills (or cry, depending on your GPU situation). Whatās your setup, and what model are you obsessed with right now?
BTW, what about DeepSeek?
What do you think about it? The R1 series has everyone talking, with its purely reinforcement learning-based approach to reasoning tasks. Itās open-source, free, and apparently giving even OpenAI a run for its money. People are already replicating the experiments (thanks, HuggingFace!), and while some are skeptical, itās hard to ignore the buzz. NVIDIA might have taken a slight hit, but honestly, cheaper AI just means more AIāso theyāll probably bounce back stronger. Personally, I think itās a fascinating development. Have you tried it yet?
