It’s out!
Looks like a solid model based on my limited testing. Though tool calls frequently fail with “JSON parse error” in longer sessions in OpenCode and llama.cpp. Hoping that will be addressed soon.
Yeah I enjoy it as well. Just in case you missed it - a fix was merged into llama.cpp two days ago which is said to improve quality.
What does this active parameters business about? Is it supposed to perform similar to much bigger models at the same RAM usage?
As far as I know fewer active parameters means faster. There’s less arithmetic calculations to be done per pass. But all parameters need to be kept in memory, because they might become active the next pass. So it won’t save any RAM.
They have a short paragraph in the description. It has 80B total parameters, 3B active each pass. It achieves performance like a 30-60B model (10-20x, their claim). But is way more efficiant than that with only 3B active parameters.
Got. Thanks!
