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Back to Timeline !linux @moonpiedumplings
In reply to 1 earlier post
@DonAntonioMagino@feddit.nl on feddit.nl Open parent
[(Pretty much) solved] Can’t get LM Studio to work on OpenSUSE Leap 16
Solution: download an earlier version of the LM Studio AppImage. Or 0.4.6-1, which works better for me. I recently bought a new computer, and, after again trying Windows 11 for a bit, I decided I wanted to keep using OpenSUSE. Probably unpopular here: I enjoy screwing around with local LLM models. I used LM Studio on my old computer (on which I had also installed OpenSUSE Leap). I also tested it on my new computer in Windows 11, and it worked very nicely. Now I’m trying on my new computer with OpenSUSE Leap 16, and it doesn’t work at all. Specifically: no runtimes nor engines are present, and my hardware isn’t recognised at all - not my GPU nor my CPU, nothing. I’m thinking it’s a driver issue. I’ve looked around quite a bit, and also looked up (what seems to me) the most important error messages I got when running the AppImage from the console: spoiler [BackendManager] Surveying hardware with backends with options: {“type”:“newAndSelected”} [BackendManager] Surveying new engine ‘llama.cpp-linux-x86_64-avx2@2.12.0’ [ProcessForkingProvider][NodeProcessForker] Spawned process 13407 [ProcessForkingProvider][NodeProcessForker] Exited process 13407 21:17:29.644 › Failed to survey hardware with engine ‘llama.cpp-linux-x86_64-avx2@2.12.0’: LMSCore load lib failed - child process with PID 13407 exited with code 127 [BackendManager] Survey for engine ‘llama.cpp-linux-x86_64-avx2@2.12.0’ took 9.47ms [BackendManager] Surveying new engine ‘llama.cpp-linux-x86_64-nvidia-cuda-avx2@2.12.0’ [ProcessForkingProvider][NodeProcessForker] Spawned process 13408 [ProcessForkingProvider][NodeProcessForker] Exited process 13408 21:17:29.648 › Failed to survey hardware with engine ‘llama.cpp-linux-x86_64-nvidia-cuda-avx2@2.12.0’: LMSCore load lib failed - child process with PID 13408 exited with code 127 [BackendManager] Survey for engine ‘llama.cpp-linux-x86_64-nvidia-cuda-avx2@2.12.0’ took 3.70ms [BackendManager] Surveying new engine ‘llama.cpp-linux-x86_64-vulkan-avx2@2.12.0’ [ProcessForkingProvider][NodeProcessForker] Spawned process 13409 [ProcessForkingProvider][NodeProcessForker] Exited process 13409 21:17:29.651 › Failed to survey hardware with engine ‘llama.cpp-linux-x86_64-vulkan-avx2@2.12.0’: LMSCore load lib failed - child process with PID 13409 exited with code 127 [BackendManager] Survey for engine ‘llama.cpp-linux-x86_64-vulkan-avx2@2.12.0’ took 3.57ms This is my system with installed drivers: I did get Ollama to work… Any thoughts?
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moonpiedumplings in !linux
@moonpiedumplings@programming.dev · 5d
Okay, I hath returned. So I used to play a game called krunker.io. It was browser game, but I would use a native, electron based client. I spent a lot of time tinkering to figure out what options would maximize performance, and because I had a laptop with an Nvidia gpu, a few special flags were needed. Here was the full command that I would run to run the client: gamemoderun prime-run ./crankshaft-portable-linux-x86_64.AppImage -no-sandbox --ignore-gpu-blocklist --enable-gpu-rasterization --enable-native-gpu-memory-buffers --enable-zero-copy --disable-gpu-vsync --disable-frame-rate-limit --ozone-platform-hint=wayland > /dev/null 2>&1 You probably don’t want gamemoderun. But you can play with the rest of the flags there. I don’t remember what was needed and what was there for performance. I’m pretty sure that the first two arguments there were needed though.
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