this is what 12gb of vram builds in 2026, absolute magic
This is a AI post classified by Jev as Open & local models (a tool drop), kept by the AI Radar because it carries real work, not commentary.
this is what 12gb of vram builds in 2026, absolute magic > rtx 3060 12gb, #1 gpu on steam > bonsai 2 27b + mtp, 5.95 gb of weights > hermes agent, 5 hours, 328k tokens written > 8 js files, 2,368 lines, zero hand written code > 50 tok/s fresh, 22 tok/s average, 125k context watch the full video, 5 hours in 12 minutes of pure dance of a local ai model on rtx 3060 12gb vram, and stay till the end for the full gameplay. this entire game was built by bonsai2, a qwen 3.8 27b dense compressed to ternary, and this small model is punching way above its weight. it built multi file engineering work u
Posted by Sudo su (36.4k followers) 1 h ago · 80 likes · 5.5k views · view the original post on X. Kept by the AI Radar as Open & local models.
More AI work like this
- dear rtx 3060, 3070, 3080 and every 8gb to 12gb rtx owner, your gpu can run 27b dense… — @sudoingX
- Alright, the weird loop it got into fetching the information seems to be related to omp. — @jvr0x
- Quick update on my latest experiment. — @jvr0x
- Meet Occamy 1.0 APEX I MiniPlus V2: a GGUF image-text-to-text model with 7.5k downloads.… — @HuggingModels
- Run open models like Gemma 4 completely offline in the Antigravity SDK. — @antigravity
- Meet Occamy 1.0 APEX I MiniPlus V2.1 Abliterated GGUF. A custom quantized text… — @HuggingModels
- Getting access to quality healthcare often depends on where you live and whether a… — @NewsFromGoogle
- By popular demand, Models > filter by Parameters and Activated Parameters is now… — @thepirateface
Every post is read and classified by Jev (TypeSafe): what it is, which market it belongs to, and whether the link is a real tool. 45k posts from 5k X accounts over the last 14 days, 1.9k tools, 19 markets. Collected every 5 minutes, fully re-ranked every hour — last update 2026-09-23 20:02 UTC. Full method.