207
If open weight models are the future, U.S. AI companies are going to have a hard time
(www.fastcompany.com)
this post was submitted on 26 Jul 2026
207 points (98.6% liked)
Technology
86649 readers
2895 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related news or articles.
- Be excellent to each other!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, this includes using AI responses and summaries. To ask if your bot can be added please contact a mod.
- Check for duplicates before posting, duplicates may be removed
- Accounts 7 days and younger will have their posts automatically removed.
Approved Bots
founded 3 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
+1 for Hermes.
If you have a newer Nvidia GPU, you can run Qwen 27B via exllamav3 and get good quality/speed in 16GB. And it's worth the trouble, as 27B is an amazing model.
If it's AMD, yeah, a3B is a good bet, depending on how much spare CPU RAM you have.
Thanks for the tip! I do have a 5080 so I'll have to look up exllamav3
You want this one:
https://huggingface.co/turboderp/Qwen3.6-27B-exl3_3.30bpw/tree/main
Or maybe the 3.5bpw one if you don’t mind less context, or 3bpw if you need more:
https://huggingface.co/turboderp/Qwen3.6-27B-exl3
For faster inference at the cost of a little more VRAM usage:
https://huggingface.co/turboderp/Qwen3.6-27B-DFlash-exl3
And you run those in:
https://github.com/theroyallab/tabbyAPI
And FYI, if you have 64GB of RAM or more, you might consider hybrid inference instead.
Thank you for all the links! Much appreciated :)