obowan

You're my hero! Thank you so much. Probably should have read the documentation more closely. I really appreciate it!

Hello! I'm able to get this spun up and access the webUI but can't seem to connect to Home Assitant via the Local LLM Integration. I have tried to add the service via the default 8080 port and port 5800, which is listed in the model logs when running. Here is a link to the Home Assistant integration in question: https://github.com/skye-harris/hass_local_openai_llm This works when spinning up a llama.cpp server on a Linux based PC. My config.yaml is attached. Any advice is greatly appreciated! config.yaml

Thank you @Lepo Arro for the response! Unfortunately I think I borked my db and even when reverting can't seem to get into the webUI. I think I'm going to have to go through the archive and manually add each bookmark. Thank you again!

Hello, After the recent update, I am unable to access the webUI. I believe it has to do with my Postgres container needing to be migrated but was curious if someone could give me some guidance. I am using the Postgres12.5 container and receive the following error in the logs for Linkwarden: Error: P3009 migrate found failed migrations in the target database, new migrations will not be applied. Read more about how to resolve migration issues in a production database: https://pris.ly/d/migrate-resolve The 20260602155952_add_uuid_to_user_model migration started at 2026-07-11 06:01:53.950918 UTC failed Any help is greatly appreciated

I wanted to give you a big thanks for this guide! It worked like a charm. Now to work up the courage to update the authentik container itself

Zero errors on the second run. Hoping this was due to the failed upgrade or an unclean shutdown. Thank you for the help!

Will do. Thank you!

Hello, I've been trying to make my server more efficient and recently switched over from an Asrock B660m Steel Legend to a Gigabyte H610i motherboard to try and lower energy usage. That part has been successful and the server feels like it is performing well but upon running my first parity check, over 2000 errors were corrected. I didn't think much of it, assuming some data had been moved incorrectly during the rebuild process but I recently started a new check, and it once again found over 2000 errors. I am running a check with corrections on and am planning to run again with corrections turned off but was hoping someone could review my logs and see if the culprit is obvious. I'll add that I attempted to upgrade from 7.1.2 to 7.1.3 but had to roll back due to some networking issues. I also ran Memtest for about 3 hours and no issues were detected. Thanks for the help! tower-diagnostics-20250616-0731.zip

@pOpYRaid would you mind sharing what CPU you have? I have an i5-14600 with a Gigabyte H610i mobo and Pure Power 12 M 550W Gold power supply. I also purchased a new I226-V NIC to replace the onboard I219. Without the NIC installed, I can hit C8 and see power draw lows of 18W. With it installed, I can only hit C6 and typically will see lows in the 22-24W range. Not a huge penalty but was curious if you had any advice. I've enabled Native ASPM, confirmed that L1 is enabled across all peripherals and manually set the C-State limit to C10. I'm just itching for that sub 20W range! Appreciate it

@leheI haven't checked in on this in a while but after reading your comment, I hit C8! Really appreciate the info. An update: after forcing ASPM, my network speed on my server tanked. I have a 2.5Gbe hardwired connection and verified with iperf3 that my connection speed went down by about 5x. I reverted the change and saw my speeds return.

Thank you @bmartino1 for your response. Whenever I ask my voice assistant a question that requires Ollama, I see the 6 logical cores of my server spike. I tried to pin all logical and virtual cores to the docker container but it didn’t really change anything. I also attempted to pass my iGPU through to the container too but I don’t think it’s able to utilize it at this point. Thanks again!

Hello Unraid folks! I have been tinkering with Home Assistant's Voice Assitant feature and after watching the below video from Network Chuck, I decided to run Ollama 3.2 on my Unraid server for a better AI experience. I have everything up and running using the Ollama container found in the Community Store but when my assistant uses Ollama, there is about a 20 second delay until I get an answer. My Unraid server specs are below. Is this about what I can expect or are there ways to speed up the response time? I tried the tinyllama model in lieu of 3.2 but it's not as capable. Any guidance/information is greatly appreciated! Server specs: Intel i5-14600 32GB DDR4 3200mhz RAM Seagate Firecuda 530 NVME

Well I thought this was done but just made a discovery: out of curiosity, I disabled Native ASPM in the BIOS on my mobo and upon rebooting my server found that ASPM shows as enabled on all my devices! I am still using the native Realtek driver, R8169, and see no loss in speeds in docker or in iperf3. That being said, I'm still stuck at C3 once my drives spin down. I then installed the R8125 driver plugin, added the r8125.conf file to /boot/config/modprobe.d, and the speed issues persist. I am marking this new entry as the solution because ultimately, I will need an updated Realtek driver for the lower C states to be possible.

I am closing this topic because the issue is related to the onboard Realtek R8125 ethernet adapter. I went so far as to purchase another motherboard, with an onboard Intel i225v-3 controller, which caused me even more issues. It seems almost impossible to find a combination of performance, power efficiency and stability with the current gen motherboards out there. I will be following the Realtek plugin page in the hope that a solution will be found at some point.

Thank you for sharing this. While this did effectively disable EEE, which the previous r8125.conf file did not, my speed issues still persist in Unraid.