Running Krea 2 on 8GB VRAM Causes RAM Leaks; GGUF Becomes the Only Stable Workaround
Full-Belt3640 · reddit · 2026-08-13
A developer using an 8GB AMD RDNA2 GPU and 32GB RAM on Linux shared their struggles with running the Krea 2 model. When using fp8 or int8 quantizations, RAM usage spikes to 99% after the first generation, freezing the system entirely, even if cache clearing is attempted.
Currently, GGUF quants around 7-8GB in size are the only way to run the model reliably, though very few Krea 2 models offer GGUF versions. The author notes that while ComfyUI's dynamic memory management was supposed to make GGUFs obsolete, unsupported hardware like RDNA2 cards still face significant hurdles.
More from Infra
- Tencent squeezes 770B-parameter Hunyuan Hy4 Preview into 214 GiB at ~2.38 bits per weight — coolmum18 · 2026-10-16
- TokenSpeed MLA 2 hits NVIDIA Vera Rubin: up to 3.44x faster decode vs B200 — zhyncs42 · 2026-10-16
- US vs Chinese hyperscalers: Americans fund and schmooze, Chinese demand your BoM and cap you at 7% margin — jwt0625 · 2026-10-16
- How LiteLLM routes one OpenAI-shaped API across every model provider — Mahmoud_Zalt · 2026-10-16
- OpenAI-Broadcom custom AI chip Jalapeño named a TIME Best Invention of 2026 — itsclivetime · 2026-10-16
- Developer live-runs continual pretraining of a Luganda LLM on Colab, 41% done with loss dropping fast — weskambale · 2026-10-16