This is correct, I already installed the minio cli, but when I came back and read this, I tried it out and yes, once garage is running in the container, you can
alias garage="docker exec -ti <container name> /garage"
so you can do the cli things like garage bucket info test-bucket or whatever. The --help for the garage command is pretty great, which is good since they don't write it up much in the docs.
Thanks. I ended up going with Garage (in Docker), and installed the minio client cli for these tasks.
One I'm writing. I use the host file system (as I have a strong preference for simple) for it's storage, but I'm interested in adding Litestream for replicating the database onto AWS.
"Convert this text to make it sound like from a random person: "
Love the effort you've put into this question. You've clearly done some quality research and thinking.
When I asked myself this same question a couple of years ago, I ended up just buying a second hand Synology NAS to use alongside my mini-pc. That would meet your criteria, and avoids the (I'm not sure what magnitude) reliability risk of using disks connected over USB. It's more proprietary than I'd like, but it's battle tested and reliable for me.
Yep, it'd have to be a tiny town to not have a war memorial. If there's no war memorial there's probably an honour bord with the names of the fallen in the hall or RSL. Since ANZAC it's been a part of Australian culture that those who died in service of their country is a sort of sacred thing. It's significance has ebbed and flowed a bit over the years. Our pride in the services was especially damaged in the Vietnam war years, when ANZAC day crowds shrunk quite a bit and you could have imagined at the time that it might all die out. It's had a bit of a resurgence since.
After most big wars, the federal government has put a bit of money into war memorials, and it was pretty much just a matter of the local RSL or town council writing a letter to get a decommissioned artillery piece of some sort, or an old torpedo for the local park as a centrepiece for your ANZAC day ceremony. Also, if you read the plaques on 1950's or 60's buildings in the bush, you'll often see many of them are "War Memorials". War Memorial swimming pools and sports grounds are common ones. The reason communities did this is that at the time donations to "war memorials" were tax deductible.
You've made an interesting observation. For Aussies this is probably something they've never noticed. It's probably not an indication that we're very war worshipping, just that for a small country, the deaths involved in the wars we've been part of were significant, and perhaps especially so for little country towns where the surnames on the honour board match some of the street names and the bloke you were just chatting to at the post office.
Shoutout to Magic Earth, the (weirdly named) iOS app that uses OpenStreeMap data. Works on CarPlay, has reliable routing, and I get a buzz out of updating a changed a speed limit or something on OSM and then seeing the change implemented a few weeks later when I'm driving through there again.
starcoder2:latest f67ae0f64584 1.7 GB 3 days ago
phi3:latest d184c916657e 2.2 GB 3 weeks ago
deepseek-coder-v2:latest 8577f96d693e 8.9 GB 3 weeks ago
llama3:8b-instruct-q8_0 1b8e49cece7f 8.5 GB 3 weeks ago
dolphin-mistral:latest 5dc8c5a2be65 4.1 GB 3 weeks ago
codeqwen:latest df352abf55b1 4.2 GB 3 weeks ago
llama3:latest 365c0bd3c000 4.7 GB 4 weeks ago
I mostly use starcoder2 with Continue for code autocomplete, the big deepseek coder is a bit slow (I can feel it thinking), but it and the regular llama3 are good for chatbot type programming questions.
I don't really have anything to compare the M1 performance to. I guess the 8GB models output text a little slower than the web versions of the same models, and the 4GB ones about the same. Using ollama in the terminal, there's sometimes a 0.5-2 second pause before it starts outputting. Not with phi3 though - it's surprisingly snappy for the quality of answers.
An M1 MacBook with 16GB cheerfully runs llama3:8b outputting about 5 words a second. A second hand MacBook like that probably costs half to a third of a secondhand RTX3090.
It must suck to be a bargain hunting gamer. First bitcoin, and now AI.
edit: a letter
I use the Continue VS Code plugin with Ollama to use a couple of different models (deepseek-coder-v2 & starcoder2) to recreate a local only Github Copilot type experience for coding. This is on an M1 Apple Silicon though. For autocomplete the generation needs to be pretty brisk - I'm not sure how that would go in a VM without a GPU.
Thanks for your work on this grant, and especially for the fast work fixing the issues under pressure. I had fun benefiting from your efforts.
Thanks, I ended up going with Garage, but it has the same issue. I assumed I could just specify some buckets with their keys in the docker-compose or garage.toml, but no - they had to be done through the api or command line.