Hacker News new | past | comments | ask | show | jobs | submit
malshe | on: Muse Glimmer: 30B-parameter model optimized for always-on local agent workflows
I am working on a project where we have to classify customer calls into more than 10 categories. As the client wants everything locally I tried a few local LLMs. Gemma turned out to be the best model for this task. The classification accuracy is impressive, and the client is happy that I am using an American model.
LeBit | parent
I guess the client is American.
IshKebab | root | parent
Not necessarily. Except for SpaceXAI's (haha) models, there's less risk of reality distortion in Western models. Probably doesn't affect his use case but you wouldn't really want to ask Kimi K3 for a history of China for example.