Glad i could help ;)

You can get different results, sometimes better sometimes worse, most of the time differently phrased (e.g. the gemma models by google like to do bulletlists and sometimes tell me where they got that information from). There are models specifically trained / finetuned for different tasks (mostly coding, but also writing stories, answering medical questions, telling me what is on a picture, speaking different languages, running on smaller / bigger hardware, etc.). Have a look at ollamas library of models which is outright tiny compared to e.g. huggingface.

Also, i don’t trust OpenAI and others to be confidential with company data or explicit code snippets from work i feed them.

If you’re lucky you just set it to the wrong version, mine uses 10.3.0 (see below).

I tried running the docker container first as well but gave up since there are seperate versions for cuda and rocm which comes packaged with this as well and therefor gets unnecessary big.

I am running it on Fedora natively. I installed it with the setup script from the top of the docs:

curl -fsSL https://ollama.com/install.sh | sh

After that i created a service file (also stated in the linked docs) so that it starts at boot time (so i can just boot my pc and forget it without needing to login).

The crucial part for the GPU in question (RX 6700XT) was this line under the [service] section:

Environment="HSA_OVERRIDE_GFX_VERSION=10.3.0"

As you stated, this sets the environment variable for rocm. Also to be able to reach it from outside of localhost (for my server):

Environment="OLLAMA_HOST=0.0.0.0"

I have my gaming pc running as ollama host when i need it (RX 6700XT with rocm doing the heavy lifting). PC idles at ~50W and draws up to 200W when generating an answer. It is plenty fast though.

My mini pc home server is running openwebui with access to this “ollama instance” but also OpenAIs api when i just need a quick answer and therefor don’t turn on my pc.

She certainly can’t break anything by using it, you can spin up a docker container and see for yourself. It’s also localized in a lot of languages.

I don’t think my own mother would do well with this, mainly because I think she doesn’t know what the difference between a pdf and word or libre doc is. But apart from that, it is really simple.

Have used it for some months and it’s great. I mostly use it for basic stuff like splitting / merging pdfs because im too lazy to look up the pdftk command.

But there are many more features like sanitizing (removing embedded JS code) or OCR (which works great).

I hope it went well :) i was completely ready to go back changing the image tag to v2 but didn’t need to.

Loop habit tracker app on android: https://github.com/iSoron/uhabits

They are in the google play store and f-droid i believe

Let’s hope that this is not a productive system. I want to say that you’d have to try hard to do something that stupid, but then again, knowing from myself, you can cause a lot of trouble with a single command in a cli somewhere.

Im so looking forward to this. When i tried to use tmpfs / ramdisk, the transcoding would simply stop because there was no space left.

In my case it’s more like something from the 400 range

Yes, since we have similar gpus you could try the following to run it in a docker container on linux, taken from here and slightly modified:

#!/bin/bash

model=microsoft/phi-2
# share a volume with the Docker container to avoid downloading weights every run
volume=/data

docker run -e HSA_OVERRIDE_GFX_VERSION=10.3.0 -e PYTORCH_ROCM_ARCH="gfx1031" --device /dev/kfd --device /dev/dri --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:1.4-rocm --model-id $model

Note how the rocm version has a different tag and that you need to mount your gpu device into the container. The two environment variables are specific to my (any maybe yours also) gpu architecture. It will need a while to download though.

Huggingface TGI is just a piece of software handling the models, like gpt4all. Here is a list of models officially supported by TGI, although they state that you can try different ones as well. You follow the link and look for the files section. The size of the model files (safetensors or pickele binaries) gives a good estimate of how much vram you will need. Sadly this is more than most consumer graphics cards have except for santacoder and microsoft phi.

I tried Huggingface TGI yesterday, but all of the reasonable models need at least 16 gigs of vram. The only model i got working (on a desktop machine with a amd 6700xt gpu) was microsoft phi-2.

Meanwhile 4tb sata ssd is 300€ in germany

I second xournalpp. I used the older xournal to get through university.

Also, if you only have to add some text or images you can use firefox.

It’s true that you shouldn’t open ports to the internet. If you still want your services to be accessible from outside the local network you can install a wireguard server on your thin client that has access to the services you want. And if you really want to harden it you can restrict wireguard clients from ssh and other admin things.

You will need to open one port on the router to your wireguard server though. Wireguard is UDP though and ignores packages without an established connection, so attackers will not even know there is an open port on your router.

Edit: tailscale and zerotier are good external solutions to this as well without needing to open a port at all.

TIL Amazon Echos can act as Zigbee hub. Still not using it lol.

Those examples you listed are not really modern imo. I’m not an UI/UX expert though.

I used Hugo to build my personal website. You can also easily build blogs with it. The difference to the usual approach is that you “code” the website in markdown which makes it super easy. Hugo then generates the html and css for you, which gets statically hosted. Check out the showcases and themes if you’re interested. I used a theme called papermod, it’s pretty common.

Since gaming on linux has made ridiculous improvements im running it fulltime on my desktop machine. But I ran it on my laptops as sole OS for about 15 years now.

For router firmware i bought an archer c7 v5 last year (50€) and am running OpenWRT now. It’s sitting behind my ISPs router, but for that i don’t care.

Banking App would be really difficult since this is a huge security operation with liabilities. And discord would be nice to replace since it just fucks you and steals your data without giving it a second thought but there is no conpetitor i know of.