Deshalb gleich noch beibringen, dass der Sicherheitsgurt schmarrn ist.
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userentity@lemmy.zipto
PC Gaming@lemmy.ca•BeamNG.drive - Graphics and Lighting OverhaulEnglish
2·1 month agosee the docs here: https://documentation.beamng.com/support/launcher_support_tools/clear_cache/
userentity@lemmy.zipto
PC Gaming@lemmy.ca•BeamNG.drive - Graphics and Lighting OverhaulEnglish
1·1 month agonight driving is finally bearable
userentity@lemmy.zipto
PC Gaming@lemmy.ca•BeamNG.drive - Graphics and Lighting OverhaulEnglish
3·1 month agothe game has a verify files and cleanup tool, would recommend using that. i had some performance issues after updating the last few times as well, and these fixed it for me every time. could also be mods though
userentity@lemmy.zipto
Technology@lemmy.ml•GPT-5, the world best model just 1 year ago, is today inferior to Qwen3.6 27B that you can run on your desktop
2·1 month agoThat’s why you couple it with your own, self-hosted yacy or searxng instance. Embedded world knowledge does not help a model if it becomes outdated. I just let my agent research, embed that knowledge to a little Qdrant server, so other servers are not bothered again and pull the information from there when needed again. With a little RAG you can have GPT at home.
userentity@lemmy.zipto
Technology@lemmy.ml•GPT-5, the world best model just 1 year ago, is today inferior to Qwen3.6 27B that you can run on your desktop
3·1 month agoI had to get mine from ebay and wait a couple weeks as they came from China too. Also I recommend having a 3D-Printer and some Blower-Fans on hand as you will either have to buy or print your own fan shroud for these server cards.
userentity@lemmy.zipto
Technology@lemmy.ml•GPT-5, the world best model just 1 year ago, is today inferior to Qwen3.6 27B that you can run on your desktop
1·1 month agoA P40 with 24GB is ~150€, a V100 (32GB) is ~600€. Both of these fit Qwen3.6 27B (The P40 is about 3x slower though). The V100 even fits 400k context with a Q4 KV-Cache , which means you can have two slots for parallel processing (llama-cpp). You don’t even have to use system memory. One of my inference servers is running with 8gb of DDR3 and a 2nd Gen i7, so my old hardware has a good use again.
userentity@lemmy.zipto
Technology@lemmy.ml•Global downloads of China's open-source AI models exceed 10 billion
2·2 months agoQwen 3.6 27B MTP (Q4) is really great. ~24GB VRAM usage with one slot @ 262k . ~30GB with 3 slots at 128k. Also it does not struggle like Gemma if you use e.g. a Q4 KV-Cache. And it runs at 400-800 ppt/s and 20-60 itp/s on a V100.
But it has a competitor since a short while that is Laguna XS 2.1, which is really good for a A3B MoE. I’d never have thought a 30B MoE could be on par with a 27B dense, but it seemingly is.

Wireless devices being vulnerable? I am shocked. SHOCKED!