Is there a way to use this (or similar) model in Visual Studio? Extensions on Visual Studio Marketplace are clunky and sluggish at best, if they even work at all.
Readit Newsmagnat commented on Why German Strings Are Everywhere? cedardb.com/blog/german_s... · Posted by u/byt3h3ad
magnat commented on Interstellar Mission to a Black Hole centauri-dreams.org/2025/... · Posted by u/JPLeRouzic
magnat commented on Walkie-Textie Wireless Communicator technoblogy.com/show?2AON... · Posted by u/chrisjj
Is that the cap of the whole system or can multiple users use it with individual caps of 3.5kbps? That's somehow both faster and slower than I expected.
If one node kept transmitting non-stop, it could push data out at 3.5kbps and no one else in that range can transmit at the same time.
However, in EU there is a legal limit of 1% duty cycle on 868MHz band and collision avoidance mechanism, meaning on average you can send a packet (up to 255 bytes) once a minute.
magnat commented on Walkie-Textie Wireless Communicator technoblogy.com/show?2AON... · Posted by u/chrisjj
magnat commented on Walkie-Textie Wireless Communicator technoblogy.com/show?2AON... · Posted by u/chrisjj
> LoRa can reach a range of up to 3 miles (4.8 km) in urban areas, and up to 10 miles (16 km) in rural areas
In mountainous area LoRa on 868MHz band reaches over 100km. Last month we had a stratospheric balloon with a Meshtastic node attached. It established direct (albeit intermittent) connection between Warsaw and Berlin.
Just pull the trigger. A surprisingly large amount of software just works on wine.
I'm a c# dev with near 20 years experience, and I finally got the shits with advertising in the start menu. Arch Linux, because I figured why not do it properly?
I game a fair bit, and find most things on steam just work.
> I'm a c# dev with near 20 years experience
Which IDE do you use? JetBrains Rider?
If you want to have an opinion on it,
just install lmstudio and run the q8_0 version of it i.e. here https://huggingface.co/bartowski/Qwen_Qwen3-4B-Instruct-2507....
you can even run it on a 4gb raspberry pi Qwen_Qwen3-4B-Instruct-2507-Q4_K_L.gguf https://lmstudio.ai/
Keep in mind if you run it at the full 262144 tokens of context youll need ~65gb of ram.
Anyway if you're on mac you can search for "qwen3 4b 2507 mlx 4bit" and run the mlx version which is often faster on m chips. Crazy impressive what you get from a 2gb file in my opinion.
It's pretty good for summaries etc, can even make simple index.html sites if you're teaching students but it can't really vibecode in my opinion. However for local automation tasks like summarizing your emails, or home automation or whatever it is excellent.
It's crazy that we're at this point now.
> if you run it at the full 262144 tokens of context youll need ~65gb of ram
What is the relationship between context size and RAM required? Isn't the size of RAM related only to number of parameters and quantization?
> We’re open sourcing the model weights so the community can build fast, privacy-preserving autocomplete for every IDE - VSCode, Neovim, Emacs, and beyond.
https://blog.sweep.dev/posts/oss-next-edit