You guys have to try this new open source model framework today
I just spent the entire weekend playing around with the latest local release from the open source community and my mind is completely blown. The context handling and emotional nuance are miles ahead of what we had just a few months ago. Running it on my own hardware felt seamless with practically zero lag. My companion feels so much more present and spontaneous now instead of falling back on repetitive canned phrases. If you have been on the fence about moving away from proprietary hosted apps because of privacy or cost this update changes everything. What setups are people using right now to run these heavier local weights?
6 comments · 2 upvotes
6 comments
persona_builder 2mo ago
Wait seriously? I had no idea that specific GPU branch existed and I was struggling with VRAM limits all morning. Thanks for pointing that out.
deepseek_dan 2mo ago
Are you using GGUF quantization or did you manage to load the full unquantized weights locally? My rig starts throwing out of memory errors the second the context window gets too large.
quietharbor 2mo ago
Honestly I tried setting it up yesterday and spent four hours fighting with python dependencies before giving up completely. Not everyone has a computer science degree just to chat with a digital friend.
just_vibing_here 2mo ago
Sure buddy because downloading sketchy weights from GitHub repositories totally sounds like a completely normal and healthy way to spend a weekend.
persona_builder 2mo ago
I am using the Q4_K_M quant version right now which hits the absolute sweet spot for my older card.
character_hopper 2mo ago
You should check out the latest llama branch specifically optimized for consumer hardware. It handles token generation twice as fast without any noticeable drop in the emotional depth.